Stock Yard Jobs

About the Team Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large-scale optimization, active learning, and other areas. The team builds the performance-critical systems that allow OpenAI's models to run efficiently across a diverse set of AI accelerators. We work across the inference stack, from low-level kernels and compilers through model execution, to unlock the full capabilities of the underlying hardware. About the Role As a Software Engineer, Trainium, you will help bring OpenAI's inference workloads to AWS Trainium and build the software stack required to run cutting-edge frontier models efficiently on the platform. This is a deeply technical, cross-stack role spanning kernels, compilers, and model execution. You will work on the systems needed to support OpenAI's inference stack on Trainium, including developing and optimizing high-performance kernels, improving compiler support, and enabling efficient execution of the model forward pass. You'll work closely with engineers across inference, compilers, kernels, and ML systems to identify performance bottlenecks and build the software needed to take full advantage of Trainium. The work may range from low-level hardware-specific optimization to compiler and runtime improvements to integrating new model architectures into the inference stack. If you enjoy working at the intersection of ML systems, compilers, kernels, and accelerator hardware, this role is for you. We're looking for engineers who are self-directed, comfortable operating across abstraction layers, and excited to solve challenging performance problems for frontier-scale AI systems. In This Role, You Will Build and optimize OpenAI's inference stack for AWS Trainium. Develop high-performance kernels for critical model operations and workloads. Extend and improve compiler support to efficiently target

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. As the Marketing Platform Operations Manager, you will own data quality and data flow across Smartsheet's marketing technology stack with a particular focus on how lead and account data moves between systems, where it breaks down, and how it can move better in an AI-first environment. You'll dig into the mechanics of our lead flow: where data originates, how it's enriched and scored, how it syncs across platforms, and where gaps or failures cost the business pipeline. This is a hands-on, systems-fluent role. You'll partner closely with Marketing Platform Operations, Campaign Operations, Analytics Engineering, and Sales teams to diagnose data issues, improve data architecture, and support the evaluation and rollout of new tools that improve enrichment, orchestration, and data integrity across the funnel. You'll also contribute to broader Marketing Operations initiatives as they arise. This role reports to the Director, Marketing Platform Operations and can be based in our Bellevue, WA office or remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own data quality standards across CRM and Marketing Automation Platform (MAP), including field completeness, accuracy, and consistency. Lead deduplication efforts and ongoing hygiene initiatives across contact, lead, and account records. Diagnose root causes of recurring data quality issues and design scalable fixes rather than one-off cleanups. Establish and monitor data quality metrics and reporting to track health over time. Map and docum

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel. Responsibilities Own onboarding and data health for our strategic and high-value c

We built Bubble with a clear mission: to empower everyone to create software. Our AI visual development platform lets anyone, from first-time entrepreneurs to enterprise teams, take an idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 million users in more than 100 countries, Bubble is breaking down the barriers to entrepreneurship and innovation worldwide. Our Product Bubble is the only fully visual AI app builder that lets you vibe code without the code to go beyond prototypes and launch real apps to real users. Chat with AI when you want speed, edit directly when you want control. Bubble's visual editor lets you fine-tune any detail, from the design to privacy rules and programming logic, so you're never stuck, even if AI hits its limits. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business. You can build just about anything on Bubble, and our community is living proof. Mailead grew a $10K investment into a $2M valuation, and Faceless.video went from zero to $1M+ ARR in under a year. People aren't just launching products on Bubble, they're building real businesses. See how Bubble builders are shipping apps that change industries, solve problems, and shape the future here: Inspiring builders, breakthrough apps . Why Join Bubble Now? The rise of AI-generated software has validated everything Bubble has been building toward for over a decade. But pure AI-generated code is fragile, hard to debug, and rarely production-ready. Bubble bridges that gap, combining the speed of AI with a structured visual platform that produces stable, scalable, secure software. The people who join Bubble right now will help define what that means for millions of builders around the world. If you've ever wanted to work on something that genuinely changes who gets to build, this is your moment. About the team: Our Scal

The Senior Enterprise Engineer opportunity Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. Like a Forward Deployed Engineering team, Enterprise Engineering works extremely close to customers and tackles the technical problems that matter most to them. The difference is the scope of ownership. Forward Deployed Engineering is often concentrated around implementation or onboarding; Enterprise Engineering is responsible for a customer’s technical success throughout the entire customer journey. You’ll stay close as needs evolve, answering questions, investigating across the stack, identifying root causes, shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop. It is ideal for a pragmatic generalist, especially someone with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact. What you’ll do Serve on the engineering front line in Unthread, our Slack aggregation and workflow layer, for key customer accounts. Answer technical questions by reading the code, tracing behavior, inspecting production signals, and building a clear explanation, not by forwarding the thread. Diagnose and fix bugs, then validate the outcome with the customer. Design and implement product or platform features when doing so is the fastest, highest-quality way to solve the customer’s problem. Act as the engineering point of contact for urgent issues in key customer accounts’ Slack channels, coordinating the response while retaining technical ownership. Represent engineering in customer office hours and, for selected accounts, recurring weekly meetings. Partner closely with customer-facing and product teams while maintaining crisp ownership, communication, and escalation paths. Identify recurring patterns and improve tooling, documentation, observability, APIs,

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The PinTech team at Pinterest supports partnerships across a diverse set of companies to provide our Pinners with world class experiences bringing them the inspiration to create a life they love. As a Partner / Technical Support Engineer, you’ll work with a variety of Tier 1 clients across Pinterest products (Enterprise, Adtech, Shopping, Growth, etc.) to define and build scalable partner solutions, helping hundreds of millions of people find ideas and inspiration. You will be the evangelist of Pinterest’s technology stack, both internationally and domestically. What you’ll do: Serve as a subject matter expert on the Pinterest API and Pinterest partner integrations Become an expert in Pinterest’s business products and how to best deploy them and troubleshoot them Lead the definition, development, and broad-scale adoption of Pinteres

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. The Query Serving team owns the entrypoint to Mixpanel's analytics capabilities. They're responsible for our Query API as well as the infrastructure for planning queries and protecting our systems at scale. They work on initiatives like defining the APIs for enabling agentic workflows, hardening our query infrastructure in preparation for significantly increased AI query volume, and establishing our strategy for warehouse interoperability. About the Role We are looking for an Engineering Manager to join this organization. Teams operate as autonomous pods, with engineering, product, and design working side by side on clear strategic goals. Teams have direct access to customer feedback, product usage data, business metrics, and design context. We start with customer problems. We reason from first principles. We challenge assumptions. We aim for simple solutions to complex problems and avoid unnecessary abstraction. Engineering owns execution, quality, and operations. There are no project managers, QA teams, or separate SREs. Ownership stays with the people building the product. We value written thinking, dashboards, and demos over slide decks. We work openly using tools l

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Core Product team: Rolling Deployments Model APIs for frontier models Model training built for production inference RESPONSIBILITIES Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs Optimize application performance and reliability, with a focus on rendering speed and responsiveness Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows Establish best practices, and mentor other engineers on frontend technologies Build reusable component libraries and frontend infrastructure that accelerate product development Partner with backend and platform teams to define and refine APIs and end-to-end flows REQUIREMENTS 5+ years of experience building production-grade web applications Deep expertise in React, TypeScript, and modern web development tooling Track record of bu

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabrics team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers. As Engineering Manager of the Runtime Fabrics team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large. If you've contributed to containerd, runc, or related OCI projects and are ready to lead a team solving some of the hardest problems in infrastructure today, we'd love

As a Senior Sales Engineer at Amplitude, you'll be the technical quarterback for our most strategic opportunities. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R) Hands-on SQL experience: you can write j

About the Role & Team We’re looking for an Engineering Manager to lead the Delivery and SDK team within Statsig at Amplitude. This team builds the systems that connect developers to Statsig and safely deliver product experiences to end users around the world. The team owns two foundational areas: Delivery: The globally distributed systems that evaluate Experiments and Feature Gates and deliver the resulting experiences to end users. These systems sit directly in the critical path of our customers’ applications, making availability, scale, correctness, and latency essential. SDKs: More than 30 SDKs spanning web, mobile, server, edge, TV, gaming, and emerging platforms. Our goal is to meet developers wherever they build and give them an ergonomic, reliable way to integrate Statsig into any application or technology stack. This is a uniquely broad technical leadership role. You’ll work across distributed systems, mobile platforms, server runtimes, edge environments, and developer tooling—sometimes all in the same week. We’re looking for a hands-on, technically versatile leader who enjoys moving between technologies, learning unfamiliar systems, and solving problems across abstraction boundaries. You don’t need to be the world’s foremost expert in a single language or platform. You do need the curiosity and technical judgment to work effectively across many of them—and the ability to build a team that can make a complex, polyglot ecosystem feel simple and dependable to developers. What You’ll Do Lead and grow the team responsible for Statsig’s global delivery infrastructure and ecosystem of 30+ SDKs. Experience leading a team of 8-10 team members Define the technical strategy for highly available, low-latency evaluation and delivery systems operating at global scale. Make Statsig exceptionally easy to adopt by continuously improving SDK ergonomics, performance, reliability, consistency, and documentation. Expand our SDK coverage as new languages, frameworks, runtime

About the Role & Team We’re looking for an Engineering Manager to lead the Delivery and SDK team within Statsig at Amplitude. This team builds the systems that connect developers to Statsig and safely deliver product experiences to end users around the world. The team owns two foundational areas: Delivery: The globally distributed systems that evaluate Experiments and Feature Gates and deliver the resulting experiences to end users. These systems sit directly in the critical path of our customers’ applications, making availability, scale, correctness, and latency essential. SDKs: More than 30 SDKs spanning web, mobile, server, edge, TV, gaming, and emerging platforms. Our goal is to meet developers wherever they build and give them an ergonomic, reliable way to integrate Statsig into any application or technology stack. This is a uniquely broad technical leadership role. You’ll work across distributed systems, mobile platforms, server runtimes, edge environments, and developer tooling—sometimes all in the same week. We’re looking for a hands-on, technically versatile leader who enjoys moving between technologies, learning unfamiliar systems, and solving problems across abstraction boundaries. You don’t need to be the world’s foremost expert in a single language or platform. You do need the curiosity and technical judgment to work effectively across many of them—and the ability to build a team that can make a complex, polyglot ecosystem feel simple and dependable to developers. What You’ll Do Lead and grow the team responsible for Statsig’s global delivery infrastructure and ecosystem of 30+ SDKs. Leading a team of 8-10 team members Define the technical strategy for highly available, low-latency evaluation and delivery systems operating at global scale. Make Statsig exceptionally easy to adopt by continuously improving SDK ergonomics, performance, reliability, consistency, and documentation. Expand our SDK coverage as new languages, frameworks, runtimes, and comp

About the Role FLUENT ENGLISH & SPANISH SPEAKING IS A REQUIREMENT / MUST As a Senior Sales Engineer, Enterprise at Amplitude, you'll be the technical quarterback for our most strategic opportunities in the southwest region. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Fluent Spanish speaking is a MUST You must be comfortable speaking to nuanced t

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The GRC (Governance, Risk and Compliance) organization is the primary org responsible for developing and maintaining Vanta's core product offerings. These teams are at the heart of Vanta moving upmarket to support enterprise customers and build products that enable our customers’ existing security and compliance programs to integrate seamlessly with Vanta, giving them invaluable insights and recommendations to continue to operate, mature and evolve their programs. What you’ll do as a Senior Software Engineer at Vanta: Lead complex projects with multiple stakeholders and engineers to deliver significant imp