Go-To-Market Lead

Responsibilities

• Go-To-Market Leadership & Adoption
• Define and execute GTM strategies for enterprise AI capabilities, with emphasis on LLMs, agentic systems, and composable AI platforms
• Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools through targeted enablement and engagement
• Lead feature launches and platform rollouts, translating technical capabilities into clear business value narratives Forward-Deployed Engineering & Solution Acceleration
• Partner directly with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions
• Build hands-on demos, reference implementations, and rapid prototypes that showcase platform capabilities in real-world use cases
• Engage in pair programming, debugging, and solution development, accelerating time from concept to production
• Leverage tools such as GitHub Copilot, Devin, Cursor, and other AI-assisted development platforms to rapidly solve problems and iterate
• Customer Enablement & Developer Experience
• Lead workshops, office hours, and hands-on sessions focused on building with LLMs, RAG architecture, and agentic workflows

Requirements

• 4+ years of experience in Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years in go-to-market leadership, technical product, solution engineering, or forward-deployed engineering roles
• Hands-on experience building with GenAI/LLMs and agent-based systems, including rapid prototyping and deployment
• Strong programming skills and experience working with modern development stacks and APIs
• 3+ years of experience with cloud platforms (GCP or Azure) and containerization (Docker, Kubernetes/OpenShift)

Preferred

• Deep expertise in Generative AI and agentic architectures, including: o LLMs, RAG, embeddings, vector search o Agent frameworks (LangChain, LangGraph, AutoGen, ADK, or similar) o Tool use, orchestration, and multi-agent systems
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Devin, Cursor) to accelerate innovation and delivery
• Strong familiarity with LLMOps practices: prompt/version management, evaluation, observability, guardrails
• Experience building end-to-end AI applications, from prototype to production
• Proven ability to build demos, prototypes, and customer-facing solutions that drive adoption
• Experience in large-scale enterprise environments, preferably in regulated industries
• Strong communication and stakeholder management skills with ability to influence senior leaders
• Ability to operate as both a strategic leader and hands-on builder

Benefits

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.