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About the role
Own the customer relationship and delivery end-to-end. Serve as the day-to-day customer owner and product owner for the engagement. Deeply understand the customer's business need, translate it into clear problem statements and success criteria, and lead delivery across multiple parallel workstreams and use cases, balancing speed, rigor, and operational readiness. Run the engagement as product owner. Shape epics and user stories, prioritize the backlog, define validation criteria, and guide sprint planning and execution so the team reliably ships increments of working capability. Provide hands-on, architecture-aware technical leadership. Partner with engineering and applied science leads to converge on technical approaches; review designs for feasibility and integration risk; and drive decisions on build vs. reuse, experimentation vs. hardening, and performance vs. cost. Ensure the right evaluation signals exist (telemetry, quality metrics, end-to-end validation) so teams iterate fast while holding a clear bar for production. Drive customer alignment and communication. Lead workshops and working sessions to clarify requirements, constraints, and dependencies. Communicate tradeoffs and decisions with credibility, manage expectations with crisp outcome-based updates, and act as the first line of escalation, unblocking teams and keeping execution on track. Own governance, risk, and release readiness. Run RAID and dependency management across teams, anticipate delivery and operational risks early, and apply change control where needed. Ensure delivery meets expectations for quality, compliance, privacy, security, safety, and accessibility. Drive release readiness end-to-end: staging plans, validation gates, operational readiness checks, go-live coordination, and post-release follow-ups. Scale impact. Turn learnings into repeatable delivery patterns and reusable assets, and drive adoption across engagements to raise consistency, velocity, and quality over time. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development 2+ years of experience managing cross-functional and/or cross-team projects. Machine learning and AI experience. Hands-on experience building, integrating, or evaluating models or AI services (e.g., prototypes, GenAI/LLM applications, retrieval-augmented or agentic systems, evaluation signals, operational readiness), sufficient to lead technical direction and tradeoffs credibly. Engineering experience. A hands-on background building, designing, and coding software, sufficient to engage engineers as a technical partner on architecture, design, and feasibility. Excellent customer-facing communication, building trust with technical and business stakeholders and translating fluidly between them. This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Advanced degree in a technical or quantitative field. Experience delivering AI/ML solutions into production or enterprise environments, including operational readiness and iterative improvement cycles, especially in an embedded or consulting delivery model. Familiarity with the modern AI stack: LLMs, retrieval-augmented generation, agentic frameworks, evaluation tooling, and Azure AI/ML. Experience coordinating governance and release readiness for customer-facing technical solutions.
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