AI Summary
Join VDD.AI as a Confirmed Product Manager to shape product strategy and execution across AI-powered workflows, data infrastructure, and analytics experiences. You will own product discovery and delivery for B2B SaaS Data & AI products. This role requires a proven track record delivering B2B SaaS products with measurable business impact.
Key Highlights
Shape product strategy and execution
Own product discovery and delivery
Proven track record delivering B2B SaaS products
Key Responsibilities
Own product discovery and delivery for B2B SaaS Data & AI products
Assist founders to define product vision, strategy, and roadmap
Translate customer needs into clear PRDs, user stories, acceptance criteria, and prioritised backlogs
Technical Skills Required
Benefits & Perks
Full Visa Sponsorship
Healthcare
Competitive package
Job Description
VDD.AI is an AI-powered Dubai- and US-based startup that builds enterprise-grade Data & AI products and delivers tailored AI/Data Monetization services. Our goal is to democratize technology by translating complex technical realities into clear, user-friendly products and outcomes. VDD employs a unique approach, enhancing enterprise profitability and efficiency through its AI Pricing co-pilot SaaS and modern data/AI platforms deployed where the business runs. We are in search of a talented professional to join our team as a Confirmed Product Manager (B2B SaaS Data & AI). In this capacity, you’ll play a pivotal role in shaping product strategy and execution across AI-powered workflows, data infrastructure, and analytics experiences. This is full-time employment.
Key Responsibilities
- Own product discovery and delivery for B2B SaaS Data & AI products (e.g., AI Pricing co-pilot, data/analytics modules, enterprise integrations).
- Assist the founders to define product vision, strategy, and roadmap aligned with company objectives (profitability, efficiency, adoption, retention).
- Translate customer needs into clear PRDs, user stories, acceptance criteria, and prioritised backlogs—balancing business value, feasibility, and time-to-market.
- Partner with Engineering, Data, and ML teams to scope and deliver data-intensive and AI-driven features (pipelines, model outputs, monitoring, governance, explainability).
- Drive product discovery: customer interviews, problem framing, workflow mapping, competitive analysis, and quantitative insights from product usage data.
- Design end-to-end user experiences for enterprise workflows (admin, permissions, configuration, integrations, reporting), ensuring usability and trust in AI outputs.
- Own success metrics and instrumentation: define KPIs/OKRs, ensure events tracking, analyse funnels, and iterate based on adoption and impact.
- Coordinate cross-functional execution: align stakeholders, run sprint rituals when needed, unblock delivery, and maintain crisp communication across teams.
- Work closely with Sales/Customer Success on enterprise deployments: onboarding, enablement, feature positioning, feedback loops, and roadmap communication.
- Contribute to go-to-market readiness: packaging, pricing inputs, release notes, demos, and sales collateral for product launches and iterations.
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- Degree in Computer Science, Engineering, Business, or related fields (or equivalent experience).
- Proven track record delivering B2B SaaS products with measurable business impact (adoption, revenue, retention, efficiency).
- Strong product craftsmanship: PRDs, prioritization frameworks, roadmapping, and stakeholder management in fast-moving environments.
- Fluency with data/AI product fundamentals: metrics, experimentation, model lifecycle concepts, data quality, and AI/ML constraints.
- Excellent analytical skills: ability to define and interpret KPIs, structure ambiguous problems, and make data-informed decisions.
- Ability to communicate complex technical concepts clearly to non-technical stakeholders—and business context clearly to technical teams.
- Hands-on understanding of modern data ecosystems and enterprise integrations (APIs, ETL/ELT concepts, data warehouses like Snowflake/Databricks, cloud basics).
- Experience in enterprise environments (security, compliance, governance, permissions, SLAs) is highly appreciated.
Interested in opportunities specifically in United Arab Emirates? Discover our dedicated Visa Sponsorship Jobs in United Arab Emirates page featuring roles from top employers in this location.
Full Visa Sponsorship and Healthcare.
Competitive package!
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