Product Director, Programmable Voice

The Product Director, Programmable Voice is responsible for defining, building and scaling Proximus Global’s L4 Programmable Voice solution: an abstracted, ready-to-consume application layer built on BICS Cloud Communications carrier voice assets, Konera Network APIs and Telesign identity and fraud signals. The role targets the global SMB, mid-market and voice-AI startup segments and enterprises — customers typically in the €10–100k ARR range — who want the capabilities large API platforms offer but cannot justify building and operating lower-level voice products themselves.

It closes a structural gap in the portfolio: today Proximus Global has no SMB voice offering in any market, while external CPaaS players capture the higher-margin application layer on top of our own wholesale assets. This role owns the end-to-end product journey — from proposition definition through market launch and international scaling — leading a team of product managers and working cross-functionally across BICS, Konera and Telesign.

The successful candidate will build the partner ecosystem and commercial model that position Proximus Global as a trusted, AI-ready challenger to Twilio, Bandwidth and Vonage in selected use cases and priority regions.

Key Responsibilities

Team Leadership Lead, mentor and develop a team of product managers across discovery, launch and scale-up stages Balance strategic guidance with hands-on support to bring a greenfield product to market at the pace of the category Build a product culture rooted in accountability, customer evidence, speed and AI-assisted ways of working Strategy Vision Own and evolve the Programmable Voice strategy, positioning the offering as the trusted L4 challenger to established global API platforms in selected use cases and priority regions Maintain a clear, phased roadmap: near term — number masking, branded calling and the AI voice agent on a programmable call-control engine, real-time media streaming and self-serve distribution; mid term — transcription, translation and language handling, notifications, flash calling, voicemail, recording, AI-capable IVR, CRM/workflow connectors and agentic exposure; long term — voice embedded natively into major LLM runtimes and agent frameworks Enforce scope discipline against the agreed exclusions: no direct large-enterprise motion (retained by BICS Cloud Communications), no race to the cheapest per-minute pipe, no in-house foundation voice models, and one global product with regional adapters rather than parallel codebases Identify market opportunities, customer needs and competitive positioning across Europe, North America, MEA, LATAM and Asia-Pacific Product Project Management Own the full product lifecycle, from ideation through launch to scaling, on a global footprint from day one Define and execute product plans, timelines and budgets, and steer build-versus-buy and platform architecture decisions for the greenfield OSS/BSS stack Ensure timely delivery within scope and quality expectations, including clean integration into BICS Cloud Communications, Konera and Telesign Commercial Monetisation Define and own the usage-based commercial model — per minute for voice and the AI voice agent, per number for DID, per verified call for branded calling — packaged into SMB-friendly plans with sensible add-ons rather than enterprise-only custom pricing Build and defend the business case against a serviceable market of roughly $3.

4B in 2026 growing to $6.2B by 2030, and against agreed run-rate ambitions Manage internal transfer pricing with BICS, Konera and Telesign on an arm’s-length basis within the agreed group envelope Evolve pricing over time from pure per-minute charging toward bundled platform and subscription models Go-to-Market Distribution Own a self-serve, product-led motion: portal and dashboard, SDK and ADK, enabling an SMB anywhere in the world to operate the product without a dedicated implementation programme Sequence commercial launch by region — Europe and North America first, with Latin America, the Middle East and Asia-Pacific following as regulatory and identity-signal models mature Recruit lead customers and design partners among voice-AI startups, including the Y Combinator conversational-AI cohort, and position the platform explicitly around their needs Ensure the proposition remains uniform globally: the same product, the same SDK, the same trust signals, wherever the customer operates Ecosystem Partnerships Build and manage the partner ecosystem: Cognigy for conversational-AI orchestration, Eleven.

Labs for natural agent voice, Hiya and regional attestation partners (including STIR/SHAKEN in North America) for branded calling, and Telesign for fraud and identity scoring Engage major LLM providers and agent-framework owners early to shape the voice APIs, media streaming, identity signals, routing features and compliance support that AI-agent developers need Preserve strategic optionality — avoid deep dependence on any single hyperscaler voice stack and avoid exclusive lock-in to any one AI vendor Cross-functional Collaboration Drive alignment with BICS Cloud Communications on SIP trunking, numbering and branded calling, maximising reuse of existing capability and avoiding duplicate development Partner with Konera on network identity, verified caller, reachability and network trust signals exposed through the Programmable Voice layer Collaborate closely with CTO and Engineering teams (API/SDK engineers, network architects, DevOps) and with GTM, Marketing, Legal and Finance to ensure seamless execution and clear expectation setting Stakeholder Engagement Build strong relationships with internal stakeholders across Proximus Global entities and with external partners, customers and regulators Act as a key point of contact for strategic collaborations and ecosystem development Represent Programmable Voice in executive forums and ensure alignment with Proximus Global Vision 2030 and the wider portfolio strategy Innovation Technology Leadership Stay ahead of category trends: branded calling as a network-level trust layer, the shift from agent assist to fully agentic voice, the intensifying latency race, and the buyer shift from pipes to outcomes Embed AI into both the product offering and day-to-day product management and delivery practice, including AI-assisted development and modern API-gateway tooling Explore adjacent, carrier-unique capabilities such as voice analytics, number and line intelligence, and the broader interpretation of voice as a trust signal Performance Management Define and track KPIs across activation, time-to-first-call, self-serve conversion, ARR per customer, usage, margin, retention and team performance Monitor performance of products and initiatives and identify opportunities for optimisation Report progress, risks and trade-offs transparently to leadership Risk Compliance Ownership Manage the principal delivery risks: resourcing a credible global L4 build, keeping pace with AI-assisted development models, and the operational readiness of underlying onboarding and provisioning processes Confirm and track country-level regulatory and compliance requirements for AI voice, call recording, consent and any voice analytics or biometric use cases, and reflect them in launch sequencing, partner selection and go-to-market readiness Resource Management Manage budget, staffing and technology resources effectively Ensure teams are equipped with the tools, processes and support needed to succeed