Senior Manager, Solutions Engineering
Lead and grow a team of Solutions Engineers for the Eastern US region, partnering with Sales and cross-functional teams to drive pre-sales strategy and technical account execution.
Manager of Applied AI Architecture, Enterprise Tech (Cyber)
Leads a team of Applied AI Architects focused on enterprise tech (cyber), driving AI adoption through pre-sales technical excellence, demos, POCs, and GTM strategies. Requires 7+ years in solutions architecture/sales engineering and 3+ years managing pre-sales teams, with deep AI/ML expertise.
270k – 345kNew York, NYSan Francisco, CASeattle, WASales EngineeringHybrid7+ YOE
About the role
Responsibilities
- Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development
- Set goals and reviews for your team, promoting growth and output
- Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
- Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers
- Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
- Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
- Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
- Contribute to thought leadership through conference presentations, webinars, and technical content creation
- Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector
Requirements
- 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
- Experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
- Experience with the unique technical requirements and technical procurement process of enterprise tech companies
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- Organizational mindset and enjoy building foundational teams in a relatively unstructured environment
- Excellent communication, collaboration, and coaching abilities
- Comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- At least a high level familiarity with the architecture and operation of large language models and/or ML in general
- Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
- Make ambiguous problems clear and identify core principles that can translate across scenarios
- Passion for making powerful technology safe and societally beneficial
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Nice-to-Haves
- Enterprise SA Leadership at Scale: 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing both senior SAs and developing junior talent in complex enterprise software environments
- AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles
- Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (startup to Fortune 500), with experience spanning the full deal spectrum from $2M employee empowerment through $100M+ core business transformation initiatives
Skills
LLMsPrompt EngineeringAPI IntegrationsAi DeploymentsLlm EvaluationSolutions ArchitectureSales EngineeringMachine LearningDeveloper ToolingSDKs
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