Field Operations Associate Jobs

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days

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. Snowflake is seeking an accomplished Principal level Data Engineering Solutions Specialist (Openflow and Iceberg/Polaris) to drive sales execution for our ingestion workloads. This is a strategic role that works closely with the broader field organization to ensure the successful customer adoption of Snowflake’s Data Engineering and Data Lake capabilities. Responsibilities: Achieve pipeline generation and revenue targets for allocated accounts and/or territory on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target account list Execute tailored sales plays to capture market opportunities in Data Engineering, helping customers optimize their use of Snowflake's platform. Work directly with customers to understand their Data Engineering needs, communicating insights to inform Snowflake’s product roadmap and ensuring alignment with customer requirements. Become an expert in Snowflake’s Data Engineering and Data Lakehouse capabilities and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of Snowflake’s Data Engineering capabilities. Work with our Account Executives, Sales Engineers, Leadership and Field CTOs to drive customer engagements from discovery and qualificati

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Lead the technical design and architecture of major platform initiatives, author design documents and build consensus across engineering teams. Define technical roadmaps for complex, multi-quarter projects that span multiple teams. Make critical architectural decisions for company documentation infrastructure, balancing scalability, reliability, and developer experience. Evaluate and set direction for integrating emerging technologies, including AI/LLM capabilities, into company documentation platforms and authoring tools. Establish and evolve engineering standards, best practices and technical guidelines for the team and broader organization. Partner with engineering teams across the company to understand documentation needs and design integrated solutions. Design, build and maintain scalable, reliable and performant services and systems. Contribute high-quality code across the full stack and navigate codebases with different languages and tools. Debug and resolve complex production issues and improve system reliability. Take ownership of system health and incident response. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Engineering, or a related field, plus four (4) years of experience in Software Engineering. Must have four (4) years of experience in each of the following: - Working in a full stack environment with a foc

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This Toronto-based role is currently remote and is expected to transition to a

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Sr. Manager, Marketing Analytics, you'll be a senior individual contributor who transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for campaigns, partners, and field marketing—including attribution modeling, ROI optimization, and emerging AI capabilities—serving as the go-to analytics expert and thought partner for marketing leadership. What You'll Do Drive attribution modeling and full-funnel measurement across all marketing channels Translate data into actionable insights and recommendations for marketing leaders across the business Create forecasts and scenario models to inform annual budget planning and incremental asks Build and maintain self-service dashboards in Tableau for brand, demand gen, digital, and strategic events Partner cross-functionally with Field Analytics, Strategy & Planning, Marketing Leadership, and Data teams on performance narrative and QBRs Partner with the Marketing Data Operations team to maintain data quality across martech systems Implement AI/ML capabilities for predictive modeling and automated insights Design and support marketing experiments with rigorous testing and statistical validation Mentor and provide analytical guidance to junior analysts, and establish best practices for the broader analytics function Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 8+

MongoDB is seeking a Senior Director to provide global program leadership across our PoD Program — the operating model supporting our most strategic global accounts as well as to lead global program management for our AI, Digital Native, and Acquisition account segments. This is a highly cross-functional, strategic role at the intersection of sales strategy, revenue operations, and go-to-market execution. The ideal candidate is a systems thinker who can architect scalable program frameworks, translate data into actionable whitespace and account strategy, and align Product, Services, Sales, and Partner organizations around a shared playbook for growth in our highest-priority accounts and fastest-growing segments. You will operate as the connective tissue between field sales leadership, account teams, and corporate functions — ensuring our most important customers and our highest-growth segments receive consistent, best-in-class coverage models, sizing, and go-to-market motions. We are interested in speaking with candidates who are based out of Austin, New York, and San Francisco Role Responsibilities Strategic Account Program Leadership (PoD) Own the end-to-end operating cadence for the PoD program covering MongoDB's most strategic global accounts Partner with global account leaders to ensure consistent program governance, executive reporting, and cross-regional alignment Serve as the central point of coordination for account planning cycles, QBRs, and executive engagement across PoD accounts Segmentation Design and continuously refine global account segmentation frameworks across strategic, AI/Digital Native, and Acquisition accounts Ensure segmentation logic reflects growth potential, product fit, and strategic value, and is consistently applied across regions Whitespace Analysis Build repeatable whitespace analysis methodologies to identify expansion opportunities within existing accounts and adjacent buying centers Partner with sales and analytics teams to operat

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Field Process & Systems Team The Field Process & Systems team is the strategic connective tissue between our Go-To-Market strategy and the technology that powers it. We manage the end-to-end design of GTM workflows, the optimization of our global tech stack, and the deployment of AI-driven operational capabilities. While rooted in the Field Process & Systems organization, our scope spans across broad Go-To-Market functions. Our mission is to eliminate operational friction and accelerate growth by delivering scalable, AI-powered system solutions. As a member of this team, you will work alongside experts in Salesforce solutions, AI productivity, and global operations to ensure our tools and workflows allow our GTM organization to execute with speed and precision. The Manager, GTM AI & Revenue Intelligence Opportunity The Manager, GTM AI & Revenue Intelligence is responsible for designing and scaling AI-driven workflows and integrating Conversational Intelligence (CI) insights into the broader global GTM lifecycle. Sitting within the Field Process & Systems team, this role operationalizes AI initiatives by defining how unstructured conversational data, predictive signals, and AI tools validate pipeline health, automate GTM handoffs, and drive cross-functional execution. Beyond field support, this role is a critical partner to GTM Leadership—leveraging CI and AI insights to provide executive business intelligence, optimize execution

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaigns—including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role: We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in Dublin. We use a hybrid work model of 3 days in the off

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. Working alongside our affiliated law firms with Envoy, we are giving companies the tools they need to hire the best talent from around the world, send talent where it’s needed, and help support foreign workers and immigrants throughout the process. We’re a fast-growing, award-winning technology company, a leader in our space and are backed by some of the country’s leading venture capital and growth equity firms. As a result of continued growth, we are currently hiring Senior Immigration Paralegals to work within our office in Hyderabad, India . These roles require individuals with a strong immigration background, specifically in the field of US business/corporate immigration - this means, your experience will be skewed towards the processing of US employment-based visa applications . As our Senior Paralegal, you will be required to: Communicate and understand client US immigration requirements Work across the following types of visas: H-1B, L-1A/B, TN, EB-1/2/3, H-1B1, dependent and derivative cases, advance parole and work authorizations, AOS, and all phases of the employment-based Green Card processes Consistently focus on improving the accuracy while processing applications Maintain knowledge of industry changes and any alternations to the immigration laws Maintain an accurate record of cases and provide periodic updates as required Remain aware of regular USCIS updates Proactively identify the opportunities for process/ system improvement and work closely with lead, Technology QA and Development teams to implement To apply for this role, you should possess the following skills, experience and qualifications: Possess hands on experience in processing the complete end to end H1B / Green Card petition drafting and LCA p

VTS runs a complex, high-volume revenue motion — Salesforce CPQ feeding NetSuite via middleware, with mid-contract amendments involving upsells, cross-sells, volume changes, downgrades, and product churn happening continuously. The integration layer that connects these systems is functional but manual-heavy, underdocumented, and not built to scale. Furthermore, our CRM and CPQ system requires customization in order to optimize deal workflows to ensure accuracy and timely contract execution. This is not a Salesforce admin role with a developer title. We need someone who writes clean Apex, understands how CPQ order data needs to land in an ERP, knows what good middleware design looks like, and treats release management as a professional discipline — not an afterthought. Alongside our RevOps system team and Salesforce Architect, you'll work closely with our Finance and Sales teams. You will be one of the internal technical voice that evaluates and challenges what those partners propose — knowing when to push back when something is wrong. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What you can expect as a Senior Salesforce & Integration Engineer: Salesforce / CPQ Own the technical customization and development of Salesforce — LWCs, Apex classes/triggers etc along with flows Manage the scaling of custom objects that drive pre/post sales teams in meeting customer needs and internal workflow management Write and maintain Apex triggers, classes, and flows that support Salesforce and CPQ business logic — with test classes that hit 90%+ coverage as a floor, not a ceiling Integration Architecture & Development Partner with third-party implementation firms on the integration build and growth connecting Salesforce CPQ to NetSuite — be the internal technical reviewer, not just the observer Own the internal integration layer as it matures: field

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data founda

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data f

ABOUT THIS ROLE GHX connects healthcare suppliers and hospitals across North America, processing over 2.2 million Purchase Order (PO) documents per year through its ADM (Automated Document Management) platform. The platform processes the majority of documents automatically; documents the system cannot process with sufficient confidence are routed to a human review queue. The Document Review Specialist verifies those flagged documents and corrects extraction errors at the field level. Every correction feeds directly into model retraining — you are not maintaining a status quo, you are actively improving the platform’s accuracy over time. This is a precision operations role, not conventional data entry. KEY RESPONSIBILITIES Document Verification & Field Correction — 95% Verify documents like purchase orders, invoices, etc. flagged by the platform as requiring validation Compare extracted field values against the source document image and correct every discrepancy at the field level Verify and correct core fields, including vendor name, PO/Invoice number, line item descriptions, quantities, unit prices, delivery dates, and ship-to addresses Sustain throughput of ~30 documents per hour at a field accuracy rate of 99% or above Self-audit daily output before shift-end submission to catch and correct errors before they enter the system Flag ambiguous, damaged, or edge-case documents per the team escalation protocol; do not attempt to resolve documents outside defined parameters Calibration & Continuous Improvement — 5% Participate in team calibration sessions led by the Supervisor to maintain consistent field interpretation standards Surface recurring error patterns to the Supervisor (e.g., consistent misread of a specific supplier’s PO template) through the team escalation channel Complete structured onboarding and participate in refresher sessions as document types and field standards evolve REQUIRED QUALIFICATIONS Bachelor’s degree in any discipline 1–3 years of