Product Manager - Voice AI

ClearGrid; Dubai; On-site; AED 300,000 - 470,000; Full time

Job summary

ClearGrid is seeking a Product Manager to own the Voice AI product end to end, including the voice stack, tooling for prompt engineers, and platform evolution for client configuration and monitoring. You’ll balance engineering trade-offs, budgets, and stakeholder needs across lenders and banks in the UAE and KSA.

You’ll drive end-to-end product discovery, align with commercial teams, and own intake, prioritization, and delivery for all voice initiatives, with strong emphasis on data,

Qualifications

• 4–6 years of product management experience shipping software with engineering teams.
• Hands-on voice AI experience: voice agents, speech models, or voice-based products preferred; strong conversational AI/LLM backgrounds considered.
• Experience owning internal tooling for expert users (prompt engineers).
• Able to own cost lines and defend unit economics without sacrificing quality.
• Data-literate and able to derive insights from data independently.
• Technical foundation is a plus; hands-on experience matters more than formal quals.
• Experience shipping Arabic or other non-English language products is a strong plus.
• Experience with regulated or enterprise financial services is a plus.

Responsibilities

• Own end-to-end Voice AI stack performance including quality, latency, transcription accuracy and reliability.
• Own Voice Infrastructure & capacity: STT, TTS, model routing, gateways, dialing capacity.
• Own cost & efficiency: manage unit economics, cost per minute/call, and vendor decisions.
• Own Prompt & Agent Platform: build a central library, version history, validation, and regression testing.
• Maintain Production Quality: build QA/monitoring loops for live agents in regulated contexts.
• Lead Client-facing Platform evolution: configure and monitor for lenders, with analytics and transcripts.

Skills

Product management

Voice AI

Cost economics

Data-driven

Technical foundation

Arabic language experience

Regulated enterprise experience

Communication

Education

Computer Science degree

Job description

About ClearGrid

ClearGrid is an AI-native debt resolution platform operating across the UAE and Saudi Arabia. Our AI voice agents handle borrower conversations at scale in Arabic and English for leading banks and NBFIs, running on infrastructure we built in-house.

This is one of the largest production deployments of conversational voice AI in the region. Real regulated clients, real volume, and real consequences when a call goes wrong. We’re past the demo stage and deep into the harder problem: making voice AI reliable, affordable, and scalable.

About The Role

We’re hiring a Product Manager to own our Voice AI product end to end.

This is a high‑autonomy, high‑visibility role for someone equally comfortable debating voice model budgets and model trade‑offs with engineers as they are shaping roadmap and working with commercial teams and bank clients. You’ll own three things that are currently unowned: the performance and cost of the voice stack, the tooling our prompt engineers depend on every day, and the evolution of the platform into something clients can configure and monitor themselves.

You will be the single owner of Voice AI at ClearGrid, its quality, its economics, and where it goes next.

What You’ll Own

Voice AI Stack Performance

Own end‑to‑end performance of the voice product: quality, latency, transcription accuracy (Arabic and Gulf dialects especially), interruption handling, and conversational reliability. Work with engineering to instrument, monitor, and improve it continuously.

Voice Infrastructure & Capacity

Own the stack: STT, TTS, model routing, telephony gateways, dialing and redial capacity. Forecast capacity against volume so constraints surface in planning, not in production.

Cost & Efficiency

Own the unit economics of voice: cost per minute, cost per connected call. Build a defensible model, track it, and drive it down without sacrificing quality. Make build/buy and vendor decisions with data behind them, and find ways to serve a wider range of client budgets.

Prompt & Agent Platform

Own the tooling our prompt engineers depend on. Today, every AI agent across lenders, products, delinquency stages, and languages is authored, versioned, tested and deployed by hand. You’ll turn that into a product: a central agent library, version history and rollback, automated pre‑deployment validation, and regression testing against real call scenarios. The measure is simple: how fast we can launch a new agent, and how fast we can fix a live one.

Production Quality

Own how we detect and prevent failures in live agents. Our clients are regulated financial institutions; a bad call is a compliance event, not a bug. Build the QA and monitoring loop that catches issues systematically, rather than relying on someone listening to calls after the fact.

Client‑Facing Platform

Lead the evolution of the voice platform into a product lenders can use directly: agent setup and configuration, campaign controls, performance analytics, call recordings and transcripts, QA evidence. Reduce the manual work that currently sits between a client request and a client answer.

Product Discovery

Track the voice AI market closely. Evaluate new models and capabilities, decide which languages and models we support, and know when something better has shipped.

Stakeholder Ownership

Own intake, prioritization, and delivery for everything voice. Work daily with prompt engineers, engineering, analytics, QA, compliance, and the collections floor, and be willing to say no to protect the roadmap.

What We’re Looking For

• 4–6 years of product management experience, shipping software with engineering teams.
• Hands‑on voice AI experience: voice agents, speech models, or voice‑based products: strongly preferred. We’ll also seriously consider strong conversational AI / LLM application, contact centre, or speech backgrounds where the technical depth is clearly there.
• Experience owning an internal tooling or workflow product for expert users. You’ll be building for our own prompt engineers, and that’s a distinct skill from client‑facing product work.
• Comfortable owning a cost line. You can build and defend a unit economics model and drive cost per unit down without degrading quality.
• Data‑literate. You pull and interrogate your own data rather than waiting for a dashboard.
• A technical foundation (computer science or similar) is a plus, though hands‑on experience matters more than formal qualifications.
• Experience shipping Arabic or other non‑English language products is a strong plus. Arabic fluency is a plus but not required; English fluency is.
• Experience with regulated or enterprise clients, financial services especially, is a plus.
• A systems thinker: hands‑on, proactive, and comfortable operating with ambiguity.
• An excellent communicator who can flex between an engineering standup and a bank steering committee.
• Genuine enthusiasm for AI and emerging technology: someone who stays current on the space out of curiosity, not obligation.

What Success Looks Like

In 3 months: You’ve mapped the voice stack and the prompt engineering workflow, established baselines for deploy time, fix time, and cost per connected call, and agreed a Phase 1 roadmap.

In 6 months: Manual prompt engineering effort is measurably down. A cost‑per‑connected‑call reduction plan is documented and in execution. Client‑facing setup and analytics are live with at least one lender.