Deployment Strategist Lead Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding system

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding system

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, del

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding system

At Scale, we are developing the data infrastructure that powers reliable AI systems in the physical world. The Industrial Partnerships team is a critical function for scaling high-quality data collection through a global network of external partners, expanding our capacity and geographic reach. Joining this team offers a unique opportunity to build complex operations and lead cross-functional coordination to launch new partners and transform that network into a world-class operational engine. These roles are responsible for identifying and signing new partner businesses, and coordinating day-to-day operations with existing partners, including performance tracking and ongoing support. You will: Identify and engage prospective partner businesses and manage the process through to signed agreement Coordinate day-to-day operations with signed partners including onboarding and ongoing support Track partner performance and data collection targets Support hardware deployment and basic troubleshooting on partner premises Communicate regularly with internal teams (product, strategy) and partner contacts Help identify and implement process improvements based on operational feedback Ideally you'd have: Strong professional communication skills in both Spanish and English. Bachelor’s degree in Business Administration, Economics, Logistics, Industrial Engineering, or related fields (open to both technical and non-technical degrees). Industry experience (+2) in physical/on-site operations, logistics, business development, account management or analytics. Experience in the field: warehouses, factories, logistics centers. Analytical, strategic, and process improvement capability. Nice to haves: SQL Proficiency Experience working with CRM systems T his role involves both on-site presence for coordinating operations as well as visiting partner sites on a daily basis. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

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

As a member of the AMER Solutions Org, you will act as a trusted advisor for prospects and clients, driving customer acquisition and accelerating revenue growth through a mastery of strategic sales and Asana platform expertise . In this role, you will be at the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive to build repeatable technical plays for Asana Service Management across IT and service teams. You will bridge the gap between the voice of the business and the voice of the customer, gathering first-party insights to help shape how our product, demos, and technical positioning evolve . This role can either be fully remote or based in our New York City, San Francisco, or Chicago offices with an office-centric hybrid schedule . If based in-office: The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within various customer segments and industries, managing everything from discovery to tailored product demonstrations and close. Translate complex customer pain points and service delivery workflows (such as request intake, triage, and fulfillment) into practical solution designs and compelling business value narratives for IT leaders. Advise customers on solution architecture, integrations, administration considerations, and deployment approaches to ensure a confident and seamless fit within their existing technology landscape. Collaborate cross-functionally with core Account Executives, Customer Success Managers, and core Solutions Engineers to uncover and support expansion opportunities within existing accounts. B

We're seeking a Corporate Account Executive who will fuel Asana's expansion into established books of business, uncovering hidden potential and driving exponential growth. You’ll play a crucial role in acquiring new customers and cultivating passionate advocates. You'll tackle complex deals, and your insatiable curiosity will position you as a thought leader, consistently propelling you to the top of the performance charts. We welcome those who challenge conventional wisdom and refuse to settle for the ordinary! Join Asana's sales team and become a seasoned explorer and a strategic partner for potential clients. Your contribution will be instrumental in our company's growth, while you embark on your own journey of personal and professional development. If you're eager to make a significant impact and refine your sales expertise, we're excited to connect with you! This role is based in our Chicago office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What You’ll Achieve Lead full-cycle sales process for new and existing Asana customers, both through outbound and inbound opportunities in the Corporate Segment (100-1000 EE). Craft account strategies to build relationships and find opportunities with critical Asana clients Leverage customer data and industry insights to identify expansion opportunities Identify and champion high-impact use cases within different departments, driving adoption beyond initial deployment Track and measure key metrics, continuously refining your approach to maximize engagement and value realization About You 4+ years of B2B sales experience, demonstrating a proven track record of acquiring new corporate accounts A

At Datadog, People Operations is more than just human resources—it’s a data-driven team dedicated to constantly improving the way we hire, develop, and support our most valuable asset: our people. Our People Operations team are strategic problem solvers who work closely with leadership and employees to ensure that Datadog keeps scaling smoothly and remains a great place to work. Datadog is seeking a HRIS Manager who will be responsible for managing and supporting projects within People Technology. This hands-on technical role demands excellent knowledge of HR business processes and methodologies along with a strong analytical and reporting background. A successful candidate will have a solid understanding of Workday and the ability to focus on one or more of the functional areas in People Operations. This will include the ability to assess systems and business processes, coordinate with peers, project managers, and management on impacts to other Datadog systems or business processes. You will play a critical role in the continued deployment of new functionality, developing solutions and enabling the continued growth of Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the end-to-end product lifecycle for your pod's systems and processes—from gathering requirements and designing solutions through testing, delivery, and adoption. Serve as the Workday subject matter expert for your domain, advising stakeholders on configuration best practices, optimization opportunities, and governance. Assess when Workday is the right tool and when a specialized third-party platform better serves the business. You'll partner with stakeholders on those decisions and own the requirements that follow. Understand integration concepts

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

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Depot Operations Lead , Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation. This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply. Work Schedule & Shift Availability This role supports 24/7 AV depot operations and requires availability to work afternoon shift, with hours scheduled between 12:00 PM - 11:00 PM. Specific shift times and schedules will be determined based on operational needs and business requirements. Schedules may include weekends and holidays based on depot operation