Go to Market Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams.
Architect and execute go to market strategies spanning onboarding, training, documentation, and ongoing support.
Customer Enablement & Training Conduct workshops, office hours, and hands on pair programming while maintaining self service resources (SDKs, guides, playbooks) to drive adoption and reduce time to value .
Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points.
Solution Strategy & Feedback Loop Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements.
Translate business problems into actionable solution architectures – partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery.
Stay current with industry trends in MLOps / LLMOps , GenAI, agentic frameworks, and cloud optimization.
Stakeholder Relationship & Communication Build trusted relationships across business stakeholders and product teams, acting as a technical advisor who bridges strategy and execution.
Communicate complex technical concepts clearly and produce executive ready updates, metrics, and narratives that support informed decision making .
Governance, Security & Compliance Ensure alignment with responsible AI practices, model governance, data protection requirements, and platform security controls.
Contribute documentation for validation, testing, approvals, and audit readiness in collaboration with risk, compliance, and security teams.

Requirements

4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2 + years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions.
2+ years hands-on with cloud technologies (GCP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift).
2+ years across the AI/ML lifecycle : data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance.
Experience in large enterprise environments (regulated industries preferred) and building platforms at scale .
Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain / LangGraph , ADK , vector databases.
Experience with MLOps / LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring).
Working knowledge of platform components and services such as Vertex AI, BigQuery , OpenShift , IBM CP4D , and large-scale distributed model execution platforms (e.g., NX1 or equivalents).
Proven ability to create and implement executive-level roadmaps and dashboards demonstrating business impact and risk posture.
Excellent technical depth with the ability to dive into APIs, SDKs, security controls, data contracts, and performance profiles.
Strong negotiation, stakeholder engagement, and cross-functional leadership skills.

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Artificial IntelligenceMLOpsLLMOpscloud technologiesdata managementfeature engineeringmodel developmentmodel risk governancecontainer orchestrationcloud-native solutions

Soft Skills

stakeholder engagementcross-functional leadershipnegotiationcommunicationtechnical advisoryrelationship buildingexecutive-level roadmap creationproblem-solvingtrainingdocumentation