Manager Solutions Engineering (Post Sales)

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About The Role: We are looking for a Senior Manager of Solutions Architecture to join and lead our our APAC SA team. In this role, you will be responsible for leading a team of Solutions Architects who support our sales teams across pre and post sales. You will drive technical excellence, mentor the team, and partner closely with sales leadership to win new business and expand existing accounts. This position will be based in Sydney, Australia. What You Will Do: Lead, develop, and manage an APAC SA team, including training and career development. Ensure technical excellence across the pre and post sales cycle. Provide hands-on support for key accounts as needed (presentations, architecture reviews, migration plans). Oversee and coach SA engagement on strategic accounts and critical deals. Partner with our engineering org to provide product feedback from the field. Develop repeatable plays from trends your are seeing across your team. Track and report SA performance to Sales and Field Engineering leadership quarterly. Own org planning, staffing, budgeting, and regional recruiting. About You: 8+ years of experience in Solutions Architecture/Engineering, Sales Engineering, or Technical Pre-sales roles, with at least 2+ years in a leadership position. Strong background in web technologies (Next.js, React, Node.js, APIs, cloud infrastructure). Proven ability to lead, coach, and scale technical teams in a high-growth environment. Demonstrated success working with enterprise and commercial customers across diverse industries. Strong understanding o

About the company OpenAI’s mission is to build and ensure that safe artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings together the world’s best scientists, engineers, and business professionals to accomplish this. About the role We are looking for a Sales Engineering leader to be responsible for overseeing all technical aspects of the OpenAI sales process ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models and technology. We are looking for a technical leader who represents the voice of the customer, aligning our customer-facing technical teams around a unified and exceptional experience across the customer lifecycle. You will be crucial to the success of our GTM strategy and will have a significant influence in shaping the direction of our technology and those who adopt it. Your responsibilities will encompass overseeing all technical aspects of the sales process for our Digital Natives segment. This includes not only the pre-sales activities but also at times the post-sales technical support ensuring a cohesive and outstanding experience for our clients. Your teams of Solutions Engineers will rely on your leadership to guide them in delivering exceptional service and technical expertise. You will work closely with Sales, Customer Engagement, Security, and Product teams. In this role, you will: Help craft and continuously refine the strategic vision for OpenAI's Solutions Engineering function, aligning it with broader company objectives and the evolving needs of our diverse clientele. Lead and mentor a multifaceted team through the entire sales cycle, fostering an environment that promotes seamless customer engagement, maximum adoption, and scalability. Collaborate with cross-functional teams including GTM, Product, Engineering, and Research, ensuring synergy and cohesion in our customer engagement strategies. Act as the escalation technical contact for key clients

About the Team The Solutions Engineering team consists of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, Research, and Security to translate frontier AI capabilities into practical workflows that create measurable impact. Cybersecurity is one of the most important areas where AI can help. As frontier models become increasingly capable of reasoning across code, logs, infrastructure, vulnerabilities, and security evidence, customers need expert guidance to evaluate and deploy these systems safely. Our Field Security Specialists help security leaders and practitioners apply OpenAI models, APIs, Codex, agentic workflows, and emerging cyber capabilities to real defensive challenges. About the Role We are looking for a Manager of Field Security Specialists to build and lead our customer-facing cyber solutions engineering function. This is a hands-on leadership role for someone who can develop an exceptional team while remaining close to the technology and our customers. You will establish the operating model for the function, raise the quality of specialist engagements, and personally support our most strategic and technically complex customer opportunities. You will work across CISO-level strategy, practitioner-level cybersecurity challenges, and hands-on solution design. Your team will help customers explore workflows including application security, secure software development, vulnerability management, threat modeling, cloud and identity security, SOC operations, detection engineering, incident response, and security validation. This is not an internal CISO or corporate incident-response role. It is a customer-facing leadership opportunity focused on helping defenders achieve safe, measurable outcomes with frontier AI. In this role, you will: Hire, coach, develop, and lead a high-performing team of Field Security Specialists. Establish the

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of our pre- and post-sales motion. The team brings together responsibilities previously split across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical ownership model. Customer Engineering is a growth function focused on customer health, retention, expansion, and technical partnership. As Manager, Customer Engineering, you will lead a team of Customer Engineers and be accountable for their aggregate output while staying close to the work. You will translate team goals into individual assignments, coach direct reports on technical and commercial skills, and run the day-to-day operating rhythm for your pod. This is a people leadership role where your team’s output is your output. This is a role based in-office in Sydney or Remote in Melbourne. What this looks like day-to-day Team output and account health: Own the aggregate health, retention, and expansion outcomes for the accounts your team manages. Ensure Customer Engineering coverage is adequate, account risks are surfaced early, and no account falls through the cracks. People development: Coach and develop P2 through P4 Customer Engineers through regular 1:1s, actionable feedback, performance management, and individual development plans. Identify skill gaps and partner with enablement to address them. Operational rhythm: Run the team’s operating cadence, including weekly account reviews, pipeline syncs with Account Directors, escalation triage, and capacity planning. Maintain documentation standards and Salesforce hygiene across the team. Hiring and onboarding: Partner with recruiting to hire strong Customer Engineers and own the onboarding experience for new team members. Ensure new hires become productive within expected ramp timelines. Account Director partnership: Serve as the management counterpart to Account Director leadership for your pod. Resolve cross-functional fricti

The Cyber Deployment Manager partners with customers throughout the full lifecycle—from technical discovery and solution design through implementation, deployment, and adoption. You’ll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept. After a customer commits, you’ll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You’ll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation. In this role, you will: Lead technical discovery with security executives, practitioners, architects, and engineering teams. Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept. Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones. Own the transition from pre-sales solution design into post-sales deployment and adoption. Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams. Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows. Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution. Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes. Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes. Turn successful customer deployments into reusable

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra