AI Engineer, Agent Analytics & Optimization (DPI)
Conviva
| Company | Conviva |
| Category | Engineering |
| Location | Foster City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 i nto ou tcome-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 Opportunity
AI agents are becoming a new digital surface alongside mobile and web. This role builds the systems that let AI agents understand, query, and act on Conviva's behavioral data — MCP servers, agentic workflows, and the AI connectors that tie the platform into any client or downstream system.
This is a builder role end-to-end: design and ship agentic systems from tool interface through deployment, observability, and iteration — working closely with product and customers. This is not a research role, and it is not prompt engineering; the team builds production systems that use AI to solve real problems at scale.
How This Role Fits
This is an engineering role, distinct from Conviva's Product Builder roles on the same team:
Product Builders validate direction through customer discovery and prototypes — deciding what agent analytics should become.
This role turns that direction into production-grade systems that run reliably at scale — owning the build and the runtime, not the roadmap.
What Success Will Look Like:
Build & Ship
Design and build MCP servers that expose Conviva's data and analytics as discoverable, reliable tools for AI agents, with proper auth, scoping, and access controls
Architect and ship agentic workflows: multi-step reasoning, tool use, orchestration patterns, and human-in-the-loop where needed
Develop AI connectors integrating Conviva's intelligence with external agents, clients, and downstream systems
Own the full lifecycle — API/tool design, deployment, monitoring, production hardening
Reliability & Iteration
Use evals to validate agent behavior before shipping, catch regressions, and debug production divergence
Build observability and tracing to make agent behavior inspectable and auditable
Tune for latency, cost, and reliability as models and data drift
Execution & Collaboration
Partner with Product Builders, design, and customers to ship working software (not prototypes)
Build internal SDKs, reusable patterns, and shared context that raise the floor for the whole team
Stay close to the fast-moving MCP/agent ecosystem and bring back what's relevant
Who You Are and What You've Done:
3–7+ years of software engineering experience, with production systems shipped end-to-end
Strong Python backend fundamentals; comfortable owning services from design through deployment (fullstack a plus)
Hands-on experie