The role focuses on launching new features, crafting product narratives, and creating sales enablement materials like battlecards and pitch decks. You will also be responsible for capturing customer success stories and maintaining consistent positioning across marketing channels.
Maze
16 Remote Job Openings at Maze
Manage recurring financial and compliance rhythms, including payroll, payments, and company filings. Handle enterprise deal paperwork, security questionnaires, and the logistics for quarterly remote team offsites.
Lead the end-to-end go-to-market strategy for a new AI-native Market Research service, including positioning, pricing, and target segmentation. Drive pipeline generation and manage the full sales cycle while partnering with Product, Sales, and Marketing to scale the business.
Lead the creation and scaling of an AI-native market research service, defining the vision, methodologies, and quality standards. Partner with Product, Engineering, and GTM teams to integrate AI capabilities into research delivery and serve as the executive lead for strategic customer engagements.
Lead the development of production-grade ML infrastructure and evaluation frameworks for AI-powered cybersecurity solutions. Drive the entire ML lifecycle from experimentation to deployment while optimizing AI agent performance and scaling infrastructure.
Build and execute the channel partnership function from scratch, focusing on resellers, VARs, and cloud marketplaces. Drive channel-sourced pipeline and ARR while aligning partner motions with the direct sales team.
Own the full sales cycle for AI-powered vulnerability management, from outbound prospecting to closing enterprise deals of $100K+. Build the initial sales playbook, refine the ideal customer profile, and collaborate with product teams to shape the roadmap.
Own the AI research and implementation strategy, focusing on building evaluation frameworks for non-deterministic autonomous agents. Lead a small engineering team by remaining hands-on in the codebase to prototype and ship AI capabilities into production.
Lead the security research function to define methodologies for validating cloud and application security threats and integrate these findings into product development. Amplify the company's technical credibility by publishing original research and presenting at industry conferences.
Own top-of-funnel demand generation focusing on leads, MQLs, and pipeline creation for new and expansion business. Develop and execute strategies across paid channels and field marketing while managing lead flow and data integrity.
The role involves owning the internal security foundation by hardening AWS infrastructure and embedding application security into engineering workflows. You will also lead pragmatic compliance efforts for SOC2 and ISO27001 while building security automation and incident response plans.
Design and deliver high-impact features for a user research platform, focusing on qualitative data analysis and audience management. Partner with product and design teams to build scalable, maintainable solutions from concept to production.
Define and create new UX patterns for AI agents in the cybersecurity space, owning the product surface end-to-end. Establish a scalable design system and drive product direction through research and strategic collaboration with engineering and leadership.
The role serves as the operational backbone for the GTM organization, focusing on building scalable AI-powered systems and workflows. Key duties include diagnosing funnel performance, managing the GTM tech stack, and leading cross-functional efficiency initiatives.
Act as a strategic advisor to help customers integrate user research into their product development processes. Partner with Sales and Customer Success teams to lead discovery calls, workshops, and enablement sessions.
The Director will own engineering leadership for a growing portion of the organization, taking accountability for small, high-output product teams and ensuring they have clear priorities and support. This role requires staying close to the technical work by engaging directly in architecture decisions and code reviews, while also driving cross-team coordination without creating bureaucracy.