The backend capabilities powering QA, conversational analytics, knowledge assist, and agentic automation — transcription, scoring, retrieval, and the action layer — exposed as clean APIs the rest of the platform and our customers build on. Eval, guardrails, latency, and cost-per-interaction are your daily currency.
The client that captures what happens on the agent’s desktop and telephony stack — events, screen, and interaction signal — and feeds the AI in real time. A systems-level product: OS integration, performance footprint, reliability, and PII redaction/privacy by design.
The connector surface into CCaaS (NICE, Genesys, Five9, Talkdesk), CRMs and helpdesks (Salesforce, Zendesk), telephony/CTI, and data warehouses — plus the auth, SSO, webhooks, and partner relationships behind them. Integrations are how deals close, and how they churn.
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Own the AI services API contract, the Desktop Intercept client, and the integration roadmap end to end.
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Set latency and cost budgets per service — and hold the org to them.
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Own eval and guardrails as product: define what “good” and “safe” mean for each AI service and how it’s measured before and after ship.
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Prioritize the integration roadmap by revenue impact — which connector unlocks which deals.
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Treat reliability, privacy, and PII handling as features, not compliance chores.
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A capability area’s backlog and specs.
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Acceptance criteria and customer-pilot targets.
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The customer voice in every spec review.
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Billing-meter and RBAC scoping per feature.
And every PM writes the one-page specs that gate every build.