Jobs at Typeface

Design, deploy, and scale cloud infrastructure supporting AI and generative AI workloads. Build Kubernetes and container orchestration platforms, infrastructure-as-code, observability systems, security controls, CI/CD workflows, and resilient production environments. Optimize GPU and compute-intensive workloads for cost, performance, and reliability. Collaborate across Product, Engineering, and Security, define SLOs, improve incident response, and mentor infrastructure engineers.

Lead end-to-end security incident response across cloud infrastructure, endpoints, identity systems, and SaaS applications. Investigate threats, conduct log analysis, digital forensics, and threat hunting; build response playbooks and automate detection workflows. Collaborate with Engineering, Product, IT, Legal, and Customer teams, run tabletop exercises, improve security readiness, and mentor teammates. The role requires extensive incident response or security operations experience and familiarity with cloud security, SIEM, EDR, SOAR, and attacker frameworks.

Lead positioning, messaging, go-to-market strategy, and product launches for Typeface’s agentic and generative AI products. Partner with product, sales, and marketing teams to develop enterprise sales enablement, competitive intelligence, customer insights, analyst briefings, webinars, and launch materials. Shape product strategy through customer research, win/loss analysis, beta testing, and messaging validation while translating complex AI capabilities into compelling business outcomes for enterprise buyers.

Leads enterprise AI-driven marketing and creative transformation programs for clients. Responsibilities include executive advisory, discovery workshops, use-case roadmaps, solution design, platform configuration, integrations, deployment, change management, adoption, governance, success metrics, and implementation playbooks. The role translates business needs into technical requirements while guiding customers in using generative AI to improve content production, brand consistency, and campaign performance.

Build and scale machine learning training, inference, and Generative AI systems for personalized text, image, audio, and video content. Define model-generation roadmaps, develop and operate models at scale, prototype innovative solutions, establish testing and fine-tuning processes, and partner with product, design, business, and engineering teams. Drive data-informed product development through feature and company-level metrics.

Own the full enterprise sales cycle for AI and MarTech solutions, from prospecting through contract negotiation and closing. Build relationships with high-value customers, lead discovery and value-based conversations, exceed revenue and logo targets, and drive account expansion and ongoing success. Collaborate across sales, marketing, product, and other teams while representing customer needs and informing the product roadmap.

Build and own end-to-end features for web applications and cloud services delivering generative AI capabilities. Responsibilities include designing, specifying, developing, testing, launching, and optimizing software; collaborating with product, design, marketing, data science, and engineering teams; prototyping solutions; and establishing modern application and cloud development best practices.

Build and launch scalable, reliable full-stack web applications and cloud services powered by Generative AI. Own initiatives end to end, from technical design and development through testing and launch. Collaborate with product, design, marketing, data science, and engineering teams; prototype innovative solutions; optimize performance across the stack; and establish best practices for modern web and cloud application development.

Own the full enterprise sales cycle for AI and MarTech solutions, from prospecting through negotiation and closing. Build relationships with high-value accounts, exceed revenue and logo targets, lead customer discovery, develop use-case roadmaps, and drive post-sale success and expansion. Collaborate cross-functionally with sales, marketing, product, and customer teams while representing customer needs in product roadmap discussions.

Own the full enterprise sales cycle for AI and MarTech solutions, from prospecting through negotiation and closing. Develop customer relationships, lead discovery and value discussions, exceed revenue and logo targets, and drive account expansion. Collaborate across sales, marketing, product, and other teams to create use-case roadmaps, support customer success, represent customer needs, and inform the product roadmap.

Build end-to-end features for web applications and cloud services delivering generative AI capabilities. Own initiatives across design, specification, development, testing, and launch; collaborate with product, design, marketing, data science, and engineering teams; prototype innovative solutions; and establish modern application and cloud-service best practices. The role requires backend development, cloud platforms, databases, pub/sub systems, bulk ingestion pipelines, and data analytics services.

As a Staff Product Manager, you'll lead product strategy and execution, focusing on AI solutions for enterprise marketing while collaborating with engineering and design.

As a Senior Product Manager for Ads, you will lead the ads roadmap, improve ad tool adoption, and drive integration opportunities with ad platforms.

As a Senior Product Manager, you'll lead AI-driven feature development, strategize product direction, and ensure successful launches, while collaborating across teams and iterating on user feedback.

As a Forward Deployment Engineer, you'll translate business needs into technical architectures, prototype AI applications, and integrate solutions while collaborating with teams to drive transformations.

The Staff Product Designer will create and execute user-friendly, visually appealing designs in a collaborative environment, mentoring junior designers and leading product areas.

As a Staff Product Manager, you will drive AI-driven content marketing innovations, work with cross-functional teams, and optimize product strategies based on data analysis.