AI Product Manager (Realtime Voice Agent Platform)

• Aloware is looking for a Product Manager to own the roadmap and execution for AI-powered agent experiences in a modern contact center and customer engagement environment. You’ll turn ideas into production features that real teams depend on every day, working at the intersection of AI agents, automation workflows, and customer-facing outcomes.

• •This is not a “big company, long release cycle” PM role. You’ll work with a small, senior team, ship iteratively, and stay close to the details—defining the problem, writing clear specs, partnering with Tech Leads on trade-offs, and ensuring what we ship works in production. You’ll be a clear, calm communicator with internal stakeholders and external audiences.

Responsibilities

• •Own the roadmap and outcomes for AI agent and agentic AI experiences across our platform—prioritize what to build, define trade-offs, and drive measurable improvements in automation quality, reliability, and adoption.

• •Lead end-to-end delivery of AI-powered product capabilities, including agent workflows, automation behaviors, and user-facing experiences; define “done,” acceptance criteria, rollout plans, and ensure what we ship works in real customer environments.

• •Turn strategy into crisp artifacts (PRDs/specs/user stories), align with Tech Leads on scope and sequencing, and communicate clearly with executives and customer-facing teams throughout build → launch → iteration.

• •Run customer discovery and synthesis (calls, pilots, support data, transcripts, product usage) to validate problems, refine requirements, and keep the roadmap grounded in real workflows.

• •Define product requirements for identity, access, and integrations across Aloware and third-party systems (e.g., secure auth patterns, permissions boundaries, and data flow expectations).

• •Define integration-ready events, payloads, and key data points for product workflows and AI agent outcomes, plus supported downstream actions, to enable consistent third-party and internal integrations.

• •Establish success metrics and feedback loops (quant + qual), run experiments, and iterate quickly based on production learnings.

• •Partner with Operations/Compliance to ensure experiences align with platform requirements, consent best practices, and regional constraints—then bake those constraints into product flows and defaults.

Requirements

• •2+ years of experience as a Product Manager building and shipping AI-powered products, preferably involving AI agents or agentic systems in a fast-moving, agile environment.

• •Direct experience launching AI-driven features in production, such as LLM-powered workflows, agent orchestration, retrieval/knowledge systems, prompt design, model evaluation, and latency/quality trade-offs.

• •Strong understanding of AI agent architectures and agentic workflows, including tool usage, reasoning loops, multi-step task automation, and production reliability considerations.

• •Demonstrated track record of end-to-end product delivery: clarifying scope, unblocking engineering, managing dependencies, cutting scope, and shipping iteratively at startup pace.

• •Excellent written and verbal communication skills: you write crisp PRDs, document and explain trade-offs to stakeholders, and present product decisions to customers and partners.

Nice to Have

• •Experience with voice, telephony, or conversational AI systems (STT/TTS, call workflows, voice latency considerations).

• •Experience with contact center (CCaaS) or communication platforms, including understanding of common KPIs and workflows.

• •Familiarity with compliance and carrier constraints (e.g., consent flows, regional calling rules, carrier registration and verification).

• •Experience shipping communication features with providers like Twilio (call routing, transfers, voicemail/answering behavior, call quality/latency considerations).

• •Experience defining integration-ready data and workflows between communication platforms and CRMs/help desks/ops tools (events + payloads, identifiers, permissions, webhooks, and reliable sync patterns).

• •Team & Working Style

• •Small team, high ownership, high standards. At Aloware, we’re pushing the boundaries of AI agents and intelligent automation in customer communication. You’ll work directly with engineering and product leadership, move quickly, and see your work ship to real customers — not sit in a backlog.

• •We’re remote-friendly with US time zone overlap, offer competitive compensation, and value builders who are pragmatic, curious, and biased toward action. If you’re excited about AI agents, agentic systems, and shipping production AI products at startup speed, we’d love to hear from you.