Senior Product Manager

Job Brief

Senior Product Manager to lead product discovery, validation, and unit-economics across multiple FinTech and AI-native ventures. You will work as part of a multi-disciplinary squad — alongside Solution Architects, AI Engineers using rapid-development tooling (Replit, Lovable, Cursor, v0), UX designers, and a Technical PM — to take multiple raw use-case ideas through pain → value proposition → functional prototype → real-world validation in a single integrated programme.

You will partner closely with internal and external strategy teams, including domain Business Analysts, to develop and execute product strategy. You will own the product-management spine that turns their insight into investable concepts.

VentureDive Overview

Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.

What You'll Own

• Discovery & opportunity framing. Translate raw business hypotheses into validated problem statements. Run Jobs-To-Be-Done mapping, customer interviews, and opportunity sizing across parallel prototypes working alongside domain BAs.
• Value proposition & unit economics. Define the value prop, price point, channel hypothesis, and unit-economics shape for each venture. You should be comfortable building bottom-up cost / revenue models and stress-testing them with operators.
• Prototype scope & MVP definition. Translate value prop into an 80/20 prototype scope. Work with Solution Architects on architectural trade-offs (we use NASA ATAM) and with AI Engineers on what gets wired up first. Decide what's in, what's out, what's a fast-follow.
• Validation & PM-fit signal. Design the validation plan — activation events, retention cohorts, funnel-drop tracking, qualitative interview themes. Capture signal into a PM-fit recommendation that drives the go / iterate / kill call for each venture.
• Stakeholder management. Hold the room with senior stakeholders, strategy partners, and external advisors. Translate technical complexity for business audiences and commercial reality for engineering audiences. Defend the recommendation.
  
  

Must-have Experience

• 8+ years in product management, with at least 3 years in a venture-building, 0-to-1, or new-product-creation context (corporate venture studio, accelerator, founding PM at an early-stage startup, or equivalent in-house innovation function).
• Direct experience with AI / ML products as the product owner — not just adjacent. You have shipped at least one product where the AI / ML capability was the differentiator, and you can speak credibly about model behaviour, training data, and the gap between AI demo and AI in production.
• FinTech track record. You have shipped products in FinTech — payments, lending, credit decisioning, embedded finance, wealth, insurance, or similar regulated consumer / SME finance. You understand compliance is a constraint, not an obstacle.
• Rapid-prototyping fluency. You're comfortable with AI-augmented build tooling (Replit, Lovable, Cursor, v0, Bolt, Google AI Studio) and you've used them — directly or via your engineering counterpart — to compress build time from months to weeks.
• Validation discipline. You know what activation, retention, funnel, and PM-fit signals to read for an early-stage venture. You've called "kill" on something promising before the data forced it. You know the difference between vanity metrics and decision metrics.
• Commercial literacy. You can build a unit-economics model in a spreadsheet without help. You can sit in a room with strategy consultants and operators and credibly defend a price point.
  
  

Strong-to-have

• Experience working alongside Tier-1 strategy consultancies (McKinsey, BCG, Bain, Oliver Wyman, Strategy&).
• MENA, GCC, or KSA market experience — particularly with regulated FinTech (SAMA, CMA, central-bank licensing).
• Telco-data or enterprise-data product experience — turning a large customer / behavioural data asset into monetisable features (segmentation, propensity, churn, credit scoring, fraud).
• Direct-to-consumer FinTech app experience at scale (1M+ users).
• Arabic language fluency or working-level proficiency.
• Founding or early-team experience at a FinTech that has raised institutional capital.
  
  

What We Look For Beyond Required Skills

In order to thrive at VentureDive, you

…are intellectually smart and curious

…have the passion for and take pride in your work

…deeply believe in VentureDive’s mission, vision, and values

…have a no-frills attitude

…are a collaborative team player

…are ethical and honest

Are you ready to put your ideas into products and solutions that will be used by millions?

You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!