Ai Soc Solutions Architect Jobs

We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs. Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers. Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for admini

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We are looking to speak to candidates who are based in Amsterdam, Stockholm or Copenhagen for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioning MongoDB as

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. Own the quality and impact of the team’s work across solution design, implementation, production readiness, adop

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We are looking to speak to candidates who are based in Paris for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioning MongoDB as a thought leader Who You Are

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We are looking to speak to candidates who are based in Zurich, Berlin, Munich and Frankfurt for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioning MongoDB a

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We are looking to speak to candidates who are based in London for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioning MongoDB as a thought leader Who You Are

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our AI Product Counsel team, you will lead legal compliance initiatives for global online safety, platform, and AI regulations, including the UK Online Safety Act, EU Digital Services Act, EU AI Act, and similar emerging frameworks. You will partner closely with Product, Policy, Safety, Engineering, Security, Operations, and other teams to translate complex regulatory requirements into scalable, practical compliance solutions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as the primary legal expert on the Online Safety Act, Digital Services Act, EU AI Act, and related global AI, platform, and online safety regulations. Lead the design and implementation of scalable compliance programs, governance frameworks, controls, and operating processes. Partner with Product, Engineering, Safety, Policy, Operations, and Security teams to translate regulatory obligations into practical product and operational requirements. Monitor emerging regulations and enforcement trends, anticipate their impact, and help shape OpenAI’s compliance strategy. Develop repeatable processes, playbooks, escalation paths, and decision frameworks that enable teams to move quickly while managing risk responsibly. Support engagement with regulators, external counsel, industry groups, and other stakeholders as needed. You’ll thrive in this role if you: Have 10+ years of experience with a mix of in-house or technology-focused law firm roles. Have

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. We are a global sales organization at Micron that partners closely with the world’s most influential OEM customers. We work across regions and business units to bring Micron’s full portfolio to market, tackle complex customer challenges, and drive long‑term growth. Our team values teamwork, accountability, and building relationships that last! As the Principal Global Account Sales Manager, you will own and grow one of Micron’s most strategic global OEM relationships. This role is central to driving revenue, crafting account strategy, and representing the voice of the customer across the company. You will lead opportunity execution, influence cross‑functional teams, and build trusted relationships at all levels of the customer organization. Responsibilities: Own and execute a global strategic account plan in partnership with Business Units and regional teams Build and maintain senior‑level customer relationships and a comprehensive global relationship map Manage and advance a multi‑product opportunity pipeline with strong forecast accuracy and CRM discipline Deliver quarterly revenue, gross margin, and TAM share objectives aligned to BU and corporate goals </

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA's Nemotron Harness team. We are leaders in AI research, exploring machine learning, reinforcement learning, computer vision and natural language processing. As a Research Scientist, you will work on projects that seek to redefine general intelligence. This Zürich, Switzerland position offers an outstanding platform to participate in innovative research and impact the future of AI. What you will be doing: Conduct groundbreaking research to advance the science and technology of intelligent machines. Co-develop models with harnesses, increasing task horizon, improving memory and general intelligence capabilities in VLM/LLM systems. Work towards daring long-term research goals, while identifying and achieving immediate achievements. Influence the research community through high-quality publications and collaborative efforts. Open source high-quality code and ensure the reproducibility of your research. What we need to see: PhD or equivalent 6&#43; years of experience in Computer Science, relevant technical field, or similar, completed prior to joining NVIDIA. Research background in machine l

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 The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions Be responsible for account mapping and coor

Data Architect, AI and Supply Chain Insights Description - Job Summary We are seeking a Supply Chain Data Architect who combines strong data architecture expertise with a data product mindset. The role is responsible for owning and evolving a portfolio of Data Products, designing scalable and reusable data models, and ensuring data assets are trusted, governed, and optimized for reporting, analytics, Data Science, Machine Learning, and AI use cases. The successful candidate will work closely with business stakeholders to understand processes, priorities, and opportunities, translating them into data strategies and architecture solutions that maximize business value and adoption. A strong understanding of data engineering concepts is foundational and required, including how data is acquired, transformed, and delivered across modern data platforms. The primary focus of the role is on data architecture, data modeling, data product maturity, business engagement, and AI ready design. Success is measured by the ability to create scalable, business ready data products that enable self service analytics, advanced insights, continuously leveraging the evolving AI technologies for our Supply Chain Stakeholder. The ideal candidate combines deep expertise in data architecture and modeling with business acumen, critical thinking, problem solving and a passion for innovation. They partner with business leaders, Data Engineers, Data Scientists, Product Owners, and AI practitioners to transform complex business challenges into data driven solutions Responsibilities Own and evolve a portfolio of Supply Chain Data Products, ensuring they are certified, compliant, governed, and aligned to the latest Data Governance standards while maximizing business value and adoption. Partner with busi

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. What you'll do: Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus Mentor engineers on AI system design techniques, coding standards, and production-

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on. Responsibilities: Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points. Likewise, actively shape the product roadmap for direct client-facing styling experiences, expand