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Synechron seeks a high‑caliber Go‑To‑Market Lead to advance enterprise AI capabilities, blending strategy with hands‑on prototyping and coding. The role sits at the intersection of product, engineering, and go‑to‑market efforts, driving adoption of GenAI and agentic AI across the enterprise while collaborating with business and technical teams to deliver value.
The candidate should be technically proficient, customer‑facing, and comfortable leading in a hybrid environment.
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry‑leading digital solutions. Synechron’s progressive technologies and optimization strategies span end‑to‑end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.
We are seeking a highly skilled Go‑To‑Market Lead to join and working to advance enterprise AI capabilities and accelerate the integration of cutting‑edge innovation into customer‑facing products and internal platforms. This role sits at the intersection of product, engineering, and go‑to‑market (GTM) and is designed for a hybrid leader–builder: someone who not only shapes strategy but also gets hands‑on building prototypes, coding solutions, and rapidly demonstrating value.
We are seeking a highly technical, product‑oriented, and customer‑focused individual to drive adoption and delivery of Generative AI and agentic AI capabilities across the enterprise. This individual will function as a blend of:
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within San Francisco, CA is $150k - $160k/year & benefits (see below).
Define and execute GTM strategies for enterprise AI capabilities, including LLMs, agentic systems, and composable AI platforms.
Drive adoption of APIs, agent frameworks, orchestration layers, and developer tools.
Lead feature launches and platform rollouts while translating technical capabilities into business value.
Partner with business and engineering teams to design, prototype, and deploy GenAI and agentic solutions.
Build hands‑on demos, reference implementations, and rapid prototypes.
Engage in pair programming, debugging, and solution development.
Utilize GitHub Copilot, Devin, Cursor, and other AI‑assisted development platforms.
Lead workshops and hands‑on sessions focused on LLMs, RAG architectures, and agentic workflows.
Develop SDKs, playbooks, reusable components, prompt libraries, and agent templates.
Improve developer experience and time‑to‑value.
Translate business problems into GenAI and agentic solution architectures.
Incorporate RAG, tool usage, multi‑agent orchestration, and memory frameworks.
Define reusable design patterns, accelerators, and reference architectures.
Stay current with GenAI, LLMOps, and AI‑native development paradigms.
Establish feedback loops with end users.
Inform platform roadmap and prioritization.
Drive improvements in usability, performance, and scalability.
Promote a customer‑first and experimentation‑driven culture.
Act as a trusted advisor between business and technical teams.
Communicate complex AI concepts to diverse audiences.
Deliver executive‑ready updates focused on adoption and business impact.
Ensure adherence to responsible AI principles.
Maintain compliance with governance, security, and regulatory requirements.
Collaborate with risk and compliance teams.
4+ years of Artificial Intelligence experience or equivalent combination of work experience, education, training, or military experience.
3+ years in go‑to‑market leadership, technical product, solution engineering, or forward‑deployed engineering roles.
Hands‑on experience with GenAI/LLMs and agent‑based systems.
Strong programming skills and experience with modern development stacks and APIs.
3+ years of experience with cloud platforms (GCP or Azure) and containerization technologies (Docker, Kubernetes/OpenShift).
Expertise in Generative AI and agentic architectures.
Experience with GitHub Copilot, Devin, Cursor, and similar tools.
Knowledge of LLMOps practices including observability, guardrails, evaluation, and prompt management.
Experience building end‑to‑end AI applications.
Ability to create customer‑facing demos and prototypes.
Experience in large‑scale enterprise environments, preferably regulated industries.
Strong stakeholder management and communication skills.
Ability to operate as both a strategic leader and hands‑on builder.
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.