Execution Hub Associate Jobs

About the Role MongoDB is seeking a seasoned Vice President, Corporate Controller to lead the Company's global controllership organization at a pivotal stage of growth. This is a rare opportunity to shape the accounting function of a high-growth, publicly traded technology company as it scales into its next phase. Reporting to the Chief Accounting Officer, the VP, Corporate Controller will serve as a strategic thought partner to executive leadership and key cross-functional stakeholders, leading the strategy and performance of MongoDB's global accounting and external reporting function. This leader will own global accounting operations, international compliance, SEC reporting and technical accounting, global payroll, accounting center of excellence, and will serve as the Company's senior authority on U.S. GAAP. This is a high-impact, hands-on leadership role with responsibility for building and developing a global, distributed organization while driving transformation across people, process, and systems. The role will modernize accounting infrastructure, automation, and controllership, translate complex accounting matters into clear business decisions for senior leadership and help shape a scalable roadmap for MongoDB's next stage of growth. We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model. Responsibilities Set the strategic vision and operating model for global Controllership—building the maturity, scalability, and rigor needed to support MongoDB's next stage of growth Lead and develop senior leaders across the function, with accountability for organizational design, location strategy, talent development, succession planning, and cross-functional execution across a large, distributed global team Own the company's technical accounting positions and conclusions under U.S. GAAP, including complex and non-standard transactions, business combinations, stock-based compensation, and new accounting stand

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across governments and public institutions, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role We are looking for an experienced strategy and business operations professional to help OpenAI for Government decide where to grow and how to build the capabilities needed to serve government customers. You will shepherd ambiguous, complex work from problem definition through execution. The majority of the role will focus on business strategy and operations, from market and revenue planning to workforce, financial, and secure facility initiatives. You should be skilled at both developing a compelling recommendation and doing the detailed work to make it happen. This role has four key buckets of responsibilities: First, you will support the growth and maturation of a business operations and revenue strategy function within the OpenAI for Government. You will help OpenAI for Government four vertical leaders develop annual business strategies that define target customers, priority projects, partners, and support needed from other matrixed teams including Technical Success, Engineering, Capture and Proposal, Global Affairs, and Product Policy. You will build and maintain the intelligence picture for our key territories: missi

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Are you looking to make a real impact and play a meaningful role in the growth of our company? As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and tackle our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be passionate about perfection; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing Serving as the technical point of contact for your accounts and account managers in your assigned territory. Developing a deep understanding of customers’ goals and objectives, and articulating how our offerings address their needs. Crafting and owning value based relationships at all levels in customer organizations. Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win. Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences. Advising the sales team on effective ways of positioning Elasti

About Inspira Education Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub). The Role We are looking for a Medical Research Mentor to support high-achieving pre-med students through the development and completion of original research projects across medicine, science, psychology, and related disciplines. If you hold an MD and/or PhD and are passionate about mentorship, this role is an excellent fit. This is a part-time, remote, 1099 contract role that can be based anywhere in the United States or Canada. Responsibilities Mentor undergraduate students through the full research process, from topic selection and study design to execution and final deliverables Guide students in developing feasible, high-quality research questions aligned with their academic and career goals Provide structured feedback on research plans, data interpretation, and written research drafts Help students understand research standards and discipline-specific expectations Support students pursuing outcomes such as academic papers, posters, or journal submissions, depending on program scope Track progress against defined milestones and timelines to ensure consistent forward momentum Qualifications PhD in a relevant field (e.g., med

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Join the AI-Native Authoring team and help shape how data scientists, analysts, engineers, and AI developers build on Snowflake. From SQL to python, and from Workspaces to our VS Code extension, our team owns the highest impact workloads and surfaces across Snowflake. We even own Snowflake Notebooks end to end, including the notebook service backend, container runtimes, and interactive, Jupyter-based experience our customers work in every day. Our team is at the center of delivering a profound AI and application-development platform, delivering secure, reliable, reproducible compute environments with a delightful and intuitive editing experience layered on top. These serve all of our customers, including our most critical security-sensitive customers running in regulated and air-gapped deployments. If you're excited by deep backend systems and delivering polished customer-facing experiences across the full stack, we invite you to be part of our team's success story. AS A TECH LEAD/MANAGER YOU WILL: Own your team’s technical strategy and execution , driving projects from initial idea formulation and detailed system design to high-quality implementation and successful deployment. Provide deep technical oversight by actively participating in design reviews, architecture discus

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Principal Software Engineer 2 - OLTP Snowflake is building the next generation of transactional systems for applications, AI and agents. Across Snowflake Postgres and Unistore, we are combining the performance, reliability and developer experience expected from modern operational databases with Snowflake's cloud-native architecture and governed data platform. We're looking for a Principal Engineer 2 to help define and drive the architecture across database internals, storage, compute and cloud infrastructure. A core part of the role is designing transactional systems for agent-driven workloads, where isolated state, rapid database lifecycle, safe autonomous operations, and deep integration with enterprise data are first-class requirements. What You'll Do Define and drive the long-term technical architecture for OLTP across Snowflake Postgres, Unistore and the infrastructure they depend on. Lead major architectural decisions across transactions, storage, concurrency control, replication, recovery, query execution and database scalability. Shape the compute and storage architecture for low-latency, highly available transactional systems, including resource isolation, elasticity, networking, caching and container infrastructure. Build database primitives for agent-driven workl

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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. This is a hybrid role based in our Menlo Park or Bellevue office. You will split your time between working on-site with your engineering, product, and leadership partners and working remotely, giving you dedicated in-person time for planning, alignment, and the high-stakes conversations where being in the room matters. AS A STAFF TECHNICAL PROGRAM MANAGER AT SNOWFLAKE, YOU WILL: Define and own the program strategy for AppEx's highest-impact initiatives, spanning application surfaces, developer tooling, AI-powered experiences, and the underlying platform, from initial framing through launch and adoption Lead programs that cross AppEx sub-orgs (Applications, Notebooks, Native Apps, Drivers, AIML, Developer Platform) and extend into partner organizations across Snowflake, driving alignment where no single team owns the outcome Partner with Directors, Engineering Managers, Product Managers, and Principal Engineers to shape multi-quarter roadmaps, make tradeoff decisions explicit, and build execution plans that hold up under real-world complexity Drive cross-org decisions on shared APIs, integration points, and developer-facing launches that touch multiple Snowflake product surfaces Diagnose systemic friction in how AppEx plans and delivers, and design the operating mechanisms,

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Manager, Sales Engineering - Federal DoW to join our team. This is a Remote (DC Metro Area) role, reporting to the Federal Sales Engineering Director in the Zscaler Public Sector department. The Senior Manager, Sales Engineering - Federal DoW provides direction and specialist knowledge to Sales Engineers supporting Federal Agencies and their missions. Working in close partnership with the Sales leadership, this role directs Sales Engineering resources through the entire sales cycle while delivering technical and functional leadership. You will play an instrumental role in account planning and strategy, serve as a key advisor to customers for long-term success, and actively develop team capability through coaching and high-impact execution. What you’ll do (Role Expectations) Drive increased execution on building technical champions across our customer base Lead the recruiting, training, and o

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Workplace Experience (WPE) team is responsible for shaping the employee experience at Plaid, ensuring that our workspaces, events, and cultural touchpoints drive connection, collaboration, productivity, and engagement. Within WPE, the Employee Experience team brings Plaid's culture to life by designing and executing programs that foster belonging and engagement across both in-office and distributed environments, from flagship company-wide gatherings to onboarding, milestone moments, and everyday culture-building. We ensure every Plaid, whether new or tenured, remote or in-office, feels welcomed, valued, and connected. As an Employee Experience Coordinator, you will help bring Plaid’s culture to life by supporting internal events, employee programs, and everyday moments that help Plaids feel welcomed, connected, and celebrated. You will coordinate event logistics, employee communications, vendor details, and onsite execution for programs ranging from monthly social hours and team gatherings to company-wide events. You will work closely with teammates and cross-functional partners to keep projects organized, respond to employee questions, and ensure each experience runs smoothly