Lead Data Platform Engineer - Enterprise, Data & AI

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role As an Enterprise/Strategic Field Engineer (L5) , you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention). You'll own the end-to-end technical relationship—from pre-sales architecture discussions through multi-year expansion—ensuring our enterprise customers don't just use Replit, but become Replit-powered companies. You'll partner with Account Executives and Account Managers in a high-accountability Pod structure . This is not a reactive support role—this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue. In this role you will: Pre-Sales Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy. Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders. Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development. Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ens

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead , you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure , as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. What You’ll Do: Cloud Security Engineering Lead configuration hardening across GCP , with additional oversight of workloads and integrations running in AWS and Azure . Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. Secure critical SaaS platforms , ensuring proper configurations, access controls, and engineering integrations. Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. Assess secure logging configurations across c

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help turn “I built a business” into “I have customers.” As a Staff Software Engineer on Replit’s Money team, you’ll help shape Agentic Ads: an emerging area focused on using AI to make customer acquisition more accessible to businesses built on Replit. This role focuses on intelligent, advertiser-facing software—not ad-serving infrastructure, an ad exchange, or a real-time bidding engine. You’ll tackle problems at the intersection of AI, business growth, measurement, and trustworthy automation, turning complex decisions into clear, useful experiences. You’ll help define a new product area, working closely with product, design, and engineering to discover customer needs and deliver practical solutions. This is a hands-on Staff role: you’ll own architecture, lead delivery across teams, mentor engineers, and turn an ambitious vision into incremental customer value. You will: Set technical direction for Agentic Ads, translating customer needs into an architecture and roadmap that balance rapid learning with long-term reliability. Build agent-powered experiences that help businesses make informed growth decisions, translating user goals into understandable recommendations and appropriately authorized actions. Design extensible integrations with external services, using well-defined APIs and abstractions that accommodate changing provider capabilities and requirements. Partner with product and data teams to establish reliable measurement, connect product activity to business outcomes, and address data quality, delayed feedback, and uncertainty. Develop intelligent automation that learns from performance signals and helps users improve outcomes within their goals and constraints. Make financial control a produ

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact. This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust. We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story. You will: Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization. Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents. Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models. Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally. Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives. Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable f

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence, robotics, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. As a Staff Compute & Controls Systems Engineer in Advanced Hardware Engineering (AHE), you will be responsible for developing and documenting requirements for compute and control system modules, while also driving key functional safety analyses for our compute platforms. You will work across departments at Zoox to build a system-level understanding of how AHE hardware enables critical operational functions, and you will lead the Compute Safety Analysis (FMEDA) that ensures those functions fail safely. You will work closely with hardware and software architects, and with design, safety, manufacturing, and test engineers, to ensure requirements are verified throughout the engineering development process. Your assessments will be critical to meeting milestones as we develop new generations of hardware. In this role, you will: Apply compute, controls, and systems engineering principles to define traceable computing requirements from product goals Engage with product, HW/SW engineering, production, safety, and business teams to author detailed requirements for compute and control modules. Analyze tradeoffs and drive consensus with product, hardware, and software teams to converge on compute architecture for current and new vehicle platforms. Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights. Create and maintain clear, precise documentation to support system designs, architectural decisions, an

In this role, you will: Own diagnostic deployment for the current service vehicle fleet and successor platforms, from requirement definition through release into the operating fleet, and foster design for diagnostics with system, firmware, and software teams. Improve diagnostic quality to reduce time-to-diagnose in the fleet. Drive fault isolation accuracy and resolution so a triggered fault points to the right component and repair activity. Close end-to-end diagnostic gaps from requirement through V&V. Own the diagnostic requirements set, maintain traceability between requirements, implementation, test coverage, and in-fleet performance, and lead design and test reviews to catch gaps early. Define and deploy service actions tied to diagnostic outcomes. Partner with service engineering and fleet operations to ensure each fault maps to an actionable, verified repair, and confirm effectiveness using fleet data. Identify and develop prognostic features that predict component and system issues ahead of failure, translating fleet telemetry into monitoring strategies that reduce unplanned downtime, and report diagnostic health and gap closure status to cross-functional and program leadership. Develop metrics to measure diagnostic success and use them to identify system and process gaps, driving continuous improvement across the diagnostic lifecycle. Qualifications Bachelor's or Master's of Science in Electrical, Mechanical, Systems, or Computer Engineering. 10+ years of experience in vehicle or system diagnostics, with direct experience supporting a production or operating fleet. Demonstrated experience improving diagnostic quality and fault isolation accuracy using field data, with measurable reduction in time-to-diagnose. Working knowledge of automotive serial communication protocols (CAN, CAN-FD, LIN, Automotive Ethernet) and diagnostic protocols and standard