Manager, Applied AI Architecture, Enterprise Tech

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custom

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. REQUIREMENTS: Product Positioning & Technical Narrative Own the positioning and messaging for Baseten’s dedicated inference and platform capabilities, including autoscaling, routing, failover, release safety, observability, and cost/performance capabilities. Translate infrastructure-heavy product work into buyer narratives for ML engineering, platform engineering, security, compliance, procurement, and executive audiences. Partner with Product and Engineering to understand the technical architecture, customer value, roadmap tradeoffs, and proof points behind each capability. Define when a capability should be positioned as a platform differentiator, a dedicated inference requirement, a reliability story, a compliance story, or sales enablement. Build messaging that is technically credible without being overly implementation-focused or generic. Launch Strategy & GTM Execution Build and execute launch plans for major dedicated inference and serving platform capabilities, from early internal enablement through external announcement. Decide what deserves a full launch versus what should ship through docs, sales enablement, customer-specific materials, or targeted enterprise outreach. Create launch assets including messaging briefs, landing pages, blog posts, sales decks, one-pagers, FAQs, demo storylines, competitive talk tracks, and customer-facing proof points. Sequence launches and supporting assets based on custo

About the team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our SF or Seattle 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: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relat

Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication. About the role Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address. Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome. This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering. What you'll do Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers. Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow. Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping. Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to susta

About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. Establish processes and a culture that enable fast learning, high trust, and responsible innovation. Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong sec

About the Team Codex is OpenAI’s coding agent, helping developers write, review, and debug software. The broader Codex group combines research, engineering, design, and product to advance what AI agents can do. Codex Enterprise builds the agents and product capabilities that help organizations use Codex in their software development workflows. Unlike individual consumers, people at organizations work in teams, and our scope includes a product experience that works for those teams, building extensibility and discovery primitives, supporting enterprise administration and governance, and the capabilities that help us deploy Codex to organizations at scale. We help turn new agent capabilities into useful products that organizations can trust. About the Role We’re looking for a backend or backend-leaning full-stack engineer who pairs technical depth with strong product taste. You’ll build new products and major capabilities, help determine what shape they should take, and own the work from an ambiguous starting point through launch. Working closely with product managers and Forward Deployed Engineers, you’ll turn emerging needs and deployment insights into scalable product capabilities. The emphasis is on deeply technical product building, independent problem-solving, and thoughtful decisions about both user experience and system design. In this role, you will: Shape new Codex Enterprise products and features, applying product judgment to decide what to build and how it should work. Own projects from exploration through architecture, implementation, launch, and production operations, using feedback to guide ongoing iteration. Build ecosystem capabilities such as plugins, skills, hooks, and discovery experiences, alongside services for enterprise administration, governance, and usage visibility. Design reliable, secure, observable backend systems that support Codex experiences across web, IDEs, CLI, and CI/CD. Partner with product managers and Forward Deployed Engineers t