Product Manager
--Amman - Jordan--
Passionate about turning enterprise AI pain points into shipped product? CirrusGo is an Advanced AWS Partner building next-generation AI products, join a team that treats product management as strategic ownership, not backlog admin.
Job Summary
The Product Manager-AI Products owns the vision, roadmap, and commercial success of CirrusGo's AI portfolio, aligned to CirrusGo's AWS/AI strategy. Working with engineering, ML, solution architects, and design, this role runs discovery, owns backlog prioritization, and drives AI-specific decisions — evaluation criteria, model selection, and guardrails — with FinOps and compliance built in from the start.
Key Responsibilities
- Own the product vision and roadmap for both portfolios; align to CirrusGo's AWS/AI strategy and KSA market.
- Stay close to customers and internal teams — translate enterprise pain into shipped product that drives revenue, retention, and trust.
- Run continuous discovery: interviews, usage data, win/loss, and competitive analysis.
- Own the backlog and prioritization; make trade-off calls that materially affect the business.
- Work side-by-side with engineering, ML, solution architects, and design to ship in fast cycles.
- Write crisp PRDs, user stories, and acceptance criteria; define MVPs and iterate.
- Define evaluation criteria for AI quality — accuracy, latency, hallucination rate, safety, and consistency (not just model accuracy).
- Own Responsible AI / guardrails posture: bias, data residency, and compliance (PDPL, SAMA, NCA, SDAIA).
- Manage the build-vs-buy and model-selection decisions (e.g., Bedrock model tiers) with FinOps in mind.
- Partner with sales, presales, and marketing on positioning, pricing, packaging, and launch.
- Build enablement: demos, battlecards, SOWs/SLAs, and reference architectures.
- Drive internal adoption — onboarding, training, and change management so teams actually use the tools.
- Measure time saved and margin impact; sunset what doesn't earn its keep.
- Communicate roadmap, trade-offs, and metrics to leadership and cross-functional partners.
Skills & Qualifications
- Bachelor's degree in Engineering, Computer Science, Business, or a related field
- 5+ years in product management, including 2+ years on AI/ML or data products
- Proven record shipping products from concept → launch → scale (B2B / enterprise SaaS or platform)
- Strong grasp of cloud (AWS preferred) and modern GenAI concepts — LLMs, RAG, agents, embeddings, evaluation
- Excellent cross-functional communication — able to translate complex technology into product direction for technical and non-technical stakeholders
- Data-driven: comfortable defining metrics, running experiments, and reading product analytics
- Fluent in Agile/Scrum and Kanban, continuous discovery, and outcome-based roadmapping (Now/Next/Later or quarterly)
- Skilled with prioritization frameworks (RICE, MoSCoW, ICE) and lightweight specs (PRDs, user stories, acceptance criteria)
- Familiarity with backlog/delivery tools (Jira, Linear, Azure DevOps), roadmap tools (Productboard, Aha!), product analytics (Amplitude, Mixpanel, Pendo), and design/collaboration tools (Figma, Miro, Notion)
- Experience with AI-specific practice: prompt/version management, evaluation harnesses, and A/B or offline testing for model quality
- AWS certification (e.g., Cloud Practitioner / Solutions Architect) or hands-on Amazon Bedrock experience– strong advantage
- Background in fintech or government technology– strong advantage
- Arabic + English professional fluency– strong advantage
- Exposure to Responsible AI / AI governance frameworks– strong advantage