Confirmed Product Manager (B2B SaaS Data & AI)

Qureos Inc; Dubai; On-site; AED 300,000 - 420,000; Full time

Benefits offered by this job

Full visa sponsorship

Healthcare

Job summary

Qureos Inc, a Dubai-based startup focused on AI/Data products, is seeking a Confirmed Product Manager (B2B SaaS Data & AI) to drive strategy and execution across AI-powered workflows and data infrastructure. This is a full-time role in a fast-moving environment.

You will own discovery and delivery for enterprise SaaS products, translate customer needs into PRDs and backlogs, and collaborate with engineering, data and ML teams to ship data-intensive features and measure impact with KPIs.

Qualifications

• B2B SaaS product delivery experience with measurable impact.
• Strong product craftsmanship and roadmapping skills.
• Fluency in data/AI product fundamentals and KPIs.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Own discovery and delivery for B2B SaaS Data & AI products.
• Define vision, strategy, and roadmap aligned with objectives.
• Translate customer needs into PRDs, user stories, and backlogs.
• Collaborate with Engineering/Data/ML to deliver data-intensive features.
• Define KPIs/OKRs and instrument analytics.

Skills

PRDs

Roadmapping

Stakeholder management

Data/AI product fundamentals

Education

Bachelor's degree in CS/Engineering/Business

Tools

Snowflake

Databricks

APIs

Job description

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 youll 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 backlogsbalancing 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.

Requirements:

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 stakeholdersand 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.

Joining our team youll have the chance to utilize cutting-edge technologies collaborate with top-tier professionals and contribute significantly to our data-driven decision-making processes. If youre passionate about machine learning and data engineering wed love to hear from you.

Full Visa Sponsorship and Healthcare.

Competitive package!