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Forward Deployed Engineer (FDE)
Conviva
LocationFoster City, CA, Foster City
Last observed2026-06-13 05:23:52.158560
Job idnea-conviva:greenhouse:7637558003
Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. The Role We are hiring a Forward Deployed Engineer (FDE) to operate at the critical boundary between customer ambition and product reality. The FDE is a customer-embedded product owner responsible for converting high-stakes Proofs of Concept (POCs) into structured, shippable product decisions under commercial time pressure. You run an outcome-driven delivery loop that determines whether work becomes core product, a repeatable capability, or is explicitly sunset. This role ensures innovation strengthens the platform — rather than fragmenting it. What You’ll Do Own the POC-to-Product Loop Translate ambiguous customer requirements into structured Product Requirements Documents (PRDs) Define sequencing, acceptance criteria, and measurable definitions of “done” Scope and prioritize within constrained POC timelines Define user workflows, metric definitions, dimensions, and success criteria Partner with Engineering in a build → deploy → measure → iterate cadence Identify and reconcile deltas between intended and observed system behavior Drive formal decisioning: productize, standardize, or stop Drive Structured Execution Prioritize scope in partnership with Engineering Unblock technical and product decisions Maintain alignment between commercial expectations and engineering delivery Protect product integrity while operating under time pressure Apply Analytics & Insight Rigor Ensure metrics and instrumentation accurately reflect customer intent Validate that data models represent what stakeholders believe they represent Use quantitative and qualitative evidence to drive product decisions Translate complex system behavior into clear, high-impact narratives for technical and executive audiences Tell compelling, data-driven stories that align stakeholders around outcomes Risk Mitigation & Systems Thinking FDEs safeguard Conviva against common failure modes in customer-driven innovation: Drift between Sales expectations and Engineering delivery Unbounded bespoke work without a path to productization Ambiguous or misaligned measurement definitions Core engineering bottlenecks created by configuration complexity You act as the control mechanism that keeps delivery disciplined, measurable, and scalable. Who You Are Required 5+ years in Product Management, Forward Deployed Engineering, Sales Engineering or a similar role with strong product ownership Demonstrated experience translating ambiguity into executable requirements Strong technical fluency and ability to collaborate deeply with Product Managers and Engineers Analytical rigor — comfortable defining metrics, validating instrumentation, and interpreting sys
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