Lead Extended Workforce Program Manager Jobs

About the Team DoorDash is looking for an experienced Manager, Tax Technology to lead the tax platform and business projects of our growing Tax Team, with an emphasis on new integrations — new verticals, new merchants/partnerships, and new product launches. This role sits at the intersection of tax, product, engineering, and the Vertex Center of Excellence — turning business and tax requirements into configured, tested, live capabilities and working with the offshore implementation team delivering that work day to day. As DoorDash continues to grow across new verticals and markets, we are looking for a candidate who combines indirect tax knowledge with the ability to translate business and tax requirements into clear functional system requirements, lead cross-functional delivery, and own the delivery of new tax platform features on both the in-house and third party tax engines. About the Role You will report to the Senior Manager of the Tax Calculation Platform & Mx Operations and lead tax platform and business projects on the DoorDash platform. You will partner closely with Tax Engineering, Tax Advisory & Planning (TAP), Tax Product, and other stakeholders — gathering business and tax requirements, translating them into tax-system functional requirements for configuration, testing and cutover, and reviewing Technical Design Documents (TDDs) to provide functional tax expertise back to Tax Engineering. The primary focus of this position is end-to-end delivery of tax features, new-vertical / new-merchant or partnership / new-product launches, and legislative changes on the DoorDash platform, grounded in US sales and use tax, Canada GST/HST/PST, and Australia and New Zealand GST, across food and beverage and retail tax context, with an understanding of how data flows from upstream systems through the tax engine to downstream reporting. Rather than handing off requirements to the Vertex Center of Excellence team, you will apply your own Vertex knowl

Role Description Dropbox is hiring a Head of Field & Partner Marketing to lead our global field and partner marketing organization and drive pipeline growth across our Sales-Led Growth (SLG) business and strategic partner ecosystem. This executive Go-To-Market (GTM) leader will own the regional marketing strategy, account-based execution, mid-to-bottom funnel demand engines, and partner marketing required to scale business-to-business revenue globally. While our PLG team focuses on the frictionless, self-serve transactional customer lifecycle, this leader owns the end-to-end marketing journey for sales-engaged and partner-led motions. This role requires an exceptional strategic operator who can orchestrate targeted account-based marketing (ABM) and regional demand generation alongside localized partner programs—including managing co-marketing initiatives with strategic AI technology ecosystems (ChatGPT, Claude, and Gemini) and supporting our distribution networks. Partnering closely with regional Sales and Channel leaders, this executive will oversee integrated campaigns, joint partner value propositions, content strategies, and comprehensive PLG to SLG customer lifecycle initiatives. Responsibilities SLG & Partner Pipeline Accountability: Own the strategic vision and performance metrics (creation, coverage, and acceleration) for both direct field pipeline and indirect partner-led business globally. Integrated Demand Generation: Lead the Integrated Marketing team to design and deploy highly optimized mid- and bottom-funnel acquisition campaigns that move prospects effectively through the sales pipeline. Content & Customer Campaigns: Oversee the upstream Campaigns team to deliver compelling content frameworks and high-impact customer marketing initiatives that drive post-sale engagement, adoption, brand advocacy, and net revenue retention (NRR). Partner Alliance & Co-Marketing: Develop and execute high-impact joint marketing programs

As Senior Group Manager of Experience Design on Datadog's Web Experience team, you will lead and grow the Experience Design group while remaining hands-on with the web experiences that matter most to our customers and business. You will manage two designers today and help shape how the team scales over time. You will set a high bar for craft and execution across research, journey mapping, interaction design, prototyping, implementation, and post-launch quality. You will also evolve AI-assisted and code-connected design workflows, partnering closely with Product Marketing, Growth, Web Engineering, and Web Content Engineering to move from ideas to shipped experiences. 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: Lead and grow the Experience Design group, managing two designers today and helping shape the team as its scope evolves Hire, coach, develop, and set clear expectations for designers while maintaining a high bar for design craft Design priority web experiences from journey mapping and research through interaction design, prototyping, and shipped pages Prototype with AI and working code, use Figma MCP and Code Connect to keep design and implementation aligned, and work directly in the CMS when appropriate Own and evolve the team’s design process across discovery, critique, specification, handoff, and post-launch quality assurance Partner with Product Marketing, Growth, Web Engineering, and Web Content Engineering to shape priorities and deliver web experiences that support business goals Who You Are: Experienced across UX/UI, journey mapping, and web design, with a portfolio of shipped, high-traffic marketing or product marketing experiences and particular depth in web and product experience A people leader who remains actively involved in design

(FEQ427R544) Role Summary As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated to enterprise Named Accounts across the Benelux region. You will operate at the intersection of deep technology and business strategy, driving platform adoption and enterprise AI initiatives. As a technically credible coach and AI builder , you will spend meaningful time in the field (~30-40%) partnering with customer executives and internal Sales counterparts. You will lead by example to instil an AI-Builder Mindset across your team, establish rigorous operational inspection cadences, coach SAs through complex architecture designs without taking the pen, and decisively build an elite pre-sales organisation. The Impact You Will Have Build & Scale Elite Teams: Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing high standards for technical excellence, inclusive leadership, and decisive performance management. Drive AI Adoption & Capabilities: Lead by example as an AI practitioner, embedding AI tools into team workflows and driving scalable capability across the organisation. Act as a Customer Advisor: Build trusted relationships with C-level and senior technical executives across customer accounts. Translate complex platform capabilities into measurable business ROI (e.g., predictive maintenance, yield optimisation, supply chain resilience). Drive Operational Execution: Co-own regional consumption and growth targets with Sales partners. Maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy. Technically Coach the Field: Serve as an architectural sounding board for your team. Diagnose platform designs, spot failure modes in distributed systems or AI infrastructure, and coach SAs to refine architectures independently. Expand Benelux Presence: Serve as a key regional leader helping build Databricks' brand and

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. 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: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the region by

Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane : Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane : Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation : Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. Responsibilities Set technical direction for your team and guide architecture decisions across the enterprise platform. Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. Shape roadmaps with product and design, applying strong tec

About the role We’re looking for a Manager, Applied AI Architect to lead a team of Applied AI Architects. In this role, you’ll combine technical leadership, customer engagement, and team development to deliver exceptional customer experiences from pre-sales discovery and solution evaluation through deployment and adoption, driving real business impact. You’ll guide your team through complex customer challenges, help them navigate ambiguity, and ensure solutions are grounded in both strong technical thinking and clear business value. You’ll also partner closely with Sales, Deployment, Product, Engineering, and Research to create a seamless end-to-end customer journey. This role is open in our San Francisco or New York office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop and communicate a clear strategic vision for the Applied AI Architect team, ensuring alignment with the company's overarching goals and the evolving needs of our customers. Guide and support a multifaceted team throughout the customer lifecycle, from pre-sales discovery and evaluation through deployment and adoption, ensuring clear technical account plans, measurable customer outcomes, and scalable systems and processes. Act as a trusted escalation point for key customers within your sales segment, helping to address complex technical challenges and ensuring clear communication with executive-level stakeholders. Advocate for the innovative and effective application of our AI technologies across various sectors, positioning the company as a leader in the industry. Ensure your team remains accountable for technical progress and customer outcomes, coordinating specialist support and establishing clear ownership with delivery teams for implementation execution. You’ll thrive in this role if you: Bring 8+ years of experience in technical customer-facing roles, building and managing C-level technical and busines

As an Engineering Manager on Coder’s Core Workspaces team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction while growing the team and keeping execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Workspaces organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with React and TypeScript . Experience with Go . Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS . Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP , agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building abstractions across multiple model providers. Deep experience with AWS, Kube

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. 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: Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

As Manager, Technical Program Management, you will lead the team responsible for coordinating prototype sensor and compute hardware programs and supporting their transition to high-volume serial manufacturing. You will partner with leaders across hardware, software, vehicle engineering, product, manufacturing, and finance to turn strategic priorities into executable plans. Your team will maintain schedules, define milestones, track resources and budgets, identify risks, and communicate progress to stakeholders. In this job, you will Partner with department leaders to translate company priorities and milestones into product roadmaps, program schedules, and defined deliverables. Oversee technical programs for high-volume serial manufacturing, including production readiness, capacity planning, ramp milestones, and the resolution of issues that affect output. Coordinate the transition from prototype builds to serial production with engineering, manufacturing, quality, supply chain, and contract manufacturing partners. Work with functional leaders and finance to plan and track headcount, budgets, and other program resources. Establish clear ownership, dependencies, and delivery expectations across participating teams. Define and maintain program management processes, operating rhythms, and decision forums. Identify risks early, make their impact visible, and coordinate mitigation plans with engineering and manufacturing teams. Prepare decision points for leadership meetings, including the information and recommendations needed to resolve blockers. Qualifications Bachelor’s or master’s degree in an engineering discipline, or equivalent practical experience. 12+ years of experience in engineering, technical program management, or management consulting. 5+ years of experience m

ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a Manager, System Operations on a permanent basis. Join our team: you can be part of making a difference in peoples’ lives and experience a fulfilling and rewarding career! Position Overview: The Manager, System Operations leads the international arm of ClinChoice’s Global ERP Administration function and collaborates with the company’s international cross-functional teams to support users in their day-to-day use of Microsoft Dynamics 365. The role also works with the company’s ERP development team and third-party vendor to maintain and optimize ERP system operations. Main Job Tasks and Responsibilities: Lead the International ERP Administration team and oversee first-level technical and functional support for international users of Microsoft Dynamics 365 modules. Collaborate closely with international cross-functional teams across multiple entities and with key ERP stakeholders to diagnose system issues, recommend solutions, and continuously identify opportunities to improve ERP performance. Analyze business requirements; prepare functional specifications and design documentation; and manage change requests, service requests, and budget alignment and Manage the full system project lifecycle, including project kickoff, planning, issue tracking, timeline management, and testing coordination. Oversee testing activities and release schedules to ensure the successful delivery of system enhancements. Manage ERP timesheet operations and support resource planning. Monitor company-wide timesheet and resource-planning processes to ensure satisfactory monthly completion and approval rates. Continuously evaluate and optimize timesheet-management processes and training programs. Manage ERP user permissions and