Swift in United States

Apply to join our team today! Warehouse Associate roles starting at $20.70 per hour. The pay range is $20.70 to $22.80 per hour. Warehouse Worker roles starting at $23.10 per hour. The pay range is $23.10 to $25.55 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role. What does a role in Warehouse Operations look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Based on business needs and requirements for a role within Warehouse Operations, you will be considered for the role of Warehouse Worker or Warehouse Associate based on your responses to the questionnaire and assessment you’ll complete during the application process. Requirements associated for each of these roles are outlined below. Additional details on the specific job d

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration Identify cross-CSP GPU SW/FW issue patterns — common update failu

Coder is looking for a Financial Analyst to join our Financial Planning & Strategy team. In this role, you’ll own key planning workstreams across budgeting, forecasting, and variance analysis, helping leaders make better decisions as Coder scales. Every enterprise deploying AI coding agents needs secure, governed infrastructure to run them. You’ll help model the demand behind that shift, partner with teams across the business, and build financial frameworks for a market still being defined. What you’ll do here Own recurring FP&A deliverables end to end, including departmental budget-to-actual reporting, monthly close packages, and rolling forecast updates. Build and maintain driver-based financial models for assigned business areas, including revenue, headcount, and infrastructure cost forecasts. Perform variance analysis that goes beyond what changed, framing the “so what” and surfacing insights that guide better decisions. Support quarterly forecast cycles and annual budget planning by coordinating inputs from department heads and consolidating company-wide views. Contribute to board materials, investor deliverables, and executive reporting packages. Automate and improve recurring workflows. Push for better tools, scripts, and processes, not just cleaner spreadsheets. What we’re looking for Accounting fluency. You understand how the GL works, how accruals flow through the financials, and how actuals are produced. You can bridge the close process and the planning process without someone translating for you. Financial modeling depth. You can build clean, auditable, driver-based models from scratch in Excel or Google Sheets. Data fluency. You can pull, clean, and work with data from multiple systems, including ERP, BI tools, and CRM exports. Clear communication. You can turn variance analysis into insight, not just a table. You frame findings in terms of business impact, next steps, and audience needs. 1–3 years of experience in FP&A, strategic finance, i

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. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. This role leads the shift from a reactive support function to a platform function the whole company relies on. Corporate Engineering owns the systems, tooling, and access infrastructure Vanta runs on. From identity and device management to AI tooling infrastructure and ITSM, CE makes sure Vanta's people have the right access, the right tools, and the right guardrails on day one and every day after. CE is at an inflection point. The company has scaled quickly, AI tooling is live company-wide, and the team is ready for a leader who sets technical direction, establishes clear ownership, and builds the leadership layer beneath them. As Sr. Manager, Systems Engineering, you will lead a team of experienced engineers, own several of the company's highest-priority platform initiatives, and make CE a function the rest of Vanta builds on rather than routes around. What you’ll do as a Senior Manager, Systems Engineering at Vanta: Lead, coach, and grow a team of systems engineers and a tech lead. Set clear expectations, hold a high bar, and develop the people who build Vanta's most critical internal systems. Own joiner, mover, and leaver automation end to end in Okta Workflows, so access is correct on day one, follows people through role changes, and closes completely on departure, including API keys and service credentials. Build and own device assurance across macOS and Windows, defining OS, browser, and device-state policy ahead of enforcement rather than in response to it. Rationalize the ITSM estate so self-servi

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. Vanta for Government (V4G) is how we bring that mission to the public sector. As federal compliance undergoes its biggest shift in a decade — FedRAMP 20x, machine-readable authorization, OSCAL — we're building the platform that turns federal frameworks into automated, continuously monitored product experiences. The GRC Subject Matter Experts on this team are the people who make that possible. As Vanta's GRC Subject Matter Expert for V4G , you'll own federal compliance content used by every customer pursuing or maintaining federal authorization on our platform. This is an interpretation-and-authoring role, not a compliance program administration role: your job is to interpret underlying control requirements, identify where FedRAMP modifies or constrains the NIST framework, and translate those interpretations into precise, technically testable guidance that engineering can build and customers can act on. The content you write ships as product — a five-person startup and a Fortune 100 CSP both receive it — so calibrating depth, precision, and universality is the core craft. You'll join Vanta's Security organization, which directly influences product development, facilitates the creation of automated GRC solutions for customers, and provides expert advisory services across the company. What you’ll do as a V4G GRC SME at Vanta: Build and own federal compliance frameworks — Lead the creation, enhancement, and lifecycle management of controls, evidence requirements, and implementation guidance for FedRAMP (Low/Moderate/High), NIST SP 800-53, NIST SP 800-171, CMMC, DFARS, and StateRAMP. Author clear control rationales, acceptance crite

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. As the Executive Business Partner to three GTM executives, you will play a critical role in ensuring these executives can focus on their most impactful work. We’re looking for someone who is genuinely motivated by execution and finds energy in getting things done and supporting leaders operating at high velocity. Strong judgment, proactive thinking, adaptability, and the ability to anticipate needs and stay ahead of shifting priorities will be keys for success in this role. You will join Vanta’s centralized Executive Operations team, a cohesive group that shares best practices, collaborates closely, and provides consistent, high-quality support across the executive team. While this role is primarily execution-focused, you will also support select projects that improve operational effectiveness within the revenue organization and across the EBP team. We are looking for candidates based in the New York City Area who are able to participate in occasional in-person events and office visits. We will also consider highly qualified candidates located outside of NYC but in the eastern time zone. What you’ll do as a Executive Business Partner at Vanta: Partner closely with the GTM executives, providing excellent administrative and operational support that enables them to focus on their most impactful work. Adapt quickly to the executive’s working style and pace to deliver seamless day-to-day support. Act as a trusted gatekeeper, managing complex calendars and scheduling with an understanding of business priorities and context. Own travel and logistics end-to-end, planning itineraries and coordinating customer visits, offsites, and inter

ABOUT THE TEAM Mural’s Admin & Security portfolio owns the experiences that let organizations adopt, govern, and measure the value of Mural at enterprise scale. The portfolio spans three domains: Admin & Identity Management, Enterprise Security, & Customer Insights. This role leads Customer Insights and supercharges it into a surface that turns Mural’s product data into the narratives that drive renewals, fund expansion, and prove the ROI of collaboration to Admins and buyers. YOUR MISSION Own the Customer Insights product area end-to-end. Build the user facing experiences and the data foundation to turn raw data into shared, clear, and actionable narratives. Define Mural’s POV on what AI-native insights look like as the category shifts from static dashboards to proactive, conversational, agentic interfaces. You’ll work across three layers in parallel: The canonical usage data layer: This is the foundation that powers Company Insights today and needs to be deliberately built and enriched so other surfaces such as engagement, growth, AI, can consume it tomorrow. The customer-facing surface: This is how the data is presented in-product, whether it’s on an insights page, a dashboard, scheduled and ad hoc reporting, audit logs, or APIs that can be consumed by Admins, end users, execs, and Mural teams. The AI-native expansion: How Mural incorporates natural language queries, agentic workflows, and proactive analytics to evolve and extend the insights surface. WHAT YOU'LL DO Own product strategy, roadmap, and execution for Customer Insights from data model through customer-facing experience Define the usage data layer in partnership with Engineering and Data including the metrics that anchor renewal and expansion narratives Evolve customer-accessible audit logs to be enterprise ready Define Mural's POV on AI-native insights and ship the first set of AI-powered capabilities on this surface Partner with Sales and Customer Success to translate insights into the n

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Overview We are looking for a strategic, hands-on leader to own ClickUp's organic growth engine at the forefront of the AI Search era. You will bring deep SEO fundamentals, but this is not a traditional Director role. The landscape has shifted, and this position is responsible for defining ClickUp's acquisition strategy across modern discovery systems, building the team and workflows to execute it, and setting the standard for how brands show up across AI-powered surfaces. Our goal is to lead in AI visibility, backed by real investment, executive buy-in, and the autonomy to move fast. You will own how ClickUp is discovered across Google, ChatGPT, Perplexity, and emerging answer engines. You'll translate market shifts into focused strategy, build AI-powered systems that multiply your team's output, and influence cross-functional partners across Engineering, Content, Product Marketing, and Analytics to rally behind organic growth. This role is equal parts strategist, operator, and pioneer. The Role Own ClickUp's organic acquisition strategy across Google Search, LLMs, communities, review platforms, and emerging discovery surfaces, evolving it for an agentic and LLM-first landscape. Build AI-powered workflows and agents to automate everything from content creation to complex analytical assessments, championing experimentation and AI-first ways of working. Build and manage strategic external partnerships (AI platforms, review ecosystems, third-party publishers) and guide internal teams across Reddit, G2, YouTube, etc. to maximize ClickUp's organic presence. Partner closely with Engineering, Performance Mar

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. In this role you will Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems Define

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We're looking for an APAC Technical Support Engineer based in San Francisco to join our global Support Engineering team. This role is designed to provide APAC coverage to our users; with the shift being Sunday through Thursday 4PM-12AM PST. We are architecting the Technical Support engine . We’re looking for an experienced engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, s

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

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, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions t

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, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions t

About the role: Datadog is building a product-led Competitive Intelligence function to help inform product strategy, roadmap prioritization, positioning, and competitive readiness. As the Head of Competitive Intelligence you will build and lead the CompIntel function across priority competitors and adjacent market opportunities. You will translate competitor product evolution, technical capabilities, launches, pricing value, customer sentiment, analyst narratives, and ecosystem shifts into actionable insights for Product, GTM, Sales Engineering, Customer Success, Technical Advocacy, and leadership. In this highly technical, hands-on leadership role, you should understand how observability products are implemented, where workflows differ, what technical claims are credible, and how product gaps translate into customer impact. What You'll Do: Own the recurring competitive radar for Datadog’s priority competitor set, including taxonomy, source standards, evidence quality, and update cadence. Produce competitive deep dives, feature-gap analyses, early-warning briefs, and opportunity assessments tied to specific product domains and leadership questions. Translate CompIntel findings into roadmap recommendations, product differentiation hypotheses, and Product-facing decision guidance. Build and maintain a central CompIntel repository with competitor profiles, source notes, comparison frameworks, evidence logs, and decision-ready briefs. Convert validated findings into GTM-ready handoffs for battlecards, objection handling, strategic deal narratives, and field enablement. Synthesize signals from Product, Engineering, Sales Engineering, Customer Success, field teams, technical communities, Advocacy programs, win/loss, customer feedback, analyst research, public competitor materials, and CABs. Partner with Product Management to frame competitive questions, identify decision criteria, and connect findings to roadmap and prioritization discussions. Partner with Tec