About Gülçin
I’m a senior product and operations professional with 7+ years in B2B SaaS and data-driven platforms, working with public authorities, private operators, and enterprise teams globally. My strength lies at the intersection of product management, data & insights, and operations, ensuring teams build the right things, measure what matters, and continuously improve system performance. I’ve operated in fast-growth, non-traditional environments, scaling products, processes, and organisational structures simultaneously, gaining a full-stack perspective on complex systems.
I bring a hands-on, structured approach: defining roadmaps, running agile delivery, analysing product and operational data, and translating insights into improvements in product design, processes, and ways of working. I excel in environments with multiple stakeholders, complex constraints, and human behaviour in the loop.
Typical projects I support include:
- Product Management & Delivery: Define roadmaps and translate strategy into execution, from feature prioritisation to end-to-end delivery, ensuring products work in the real world while aligning with business goals.
- Product Performance & Human Behaviour Analysis: Analyse user interactions, system behaviour, and algorithms, providing actionable recommendations on constraints, logic, and features to maximise adoption, efficiency, and satisfaction.
- Data Analysis & Business Intelligence: Transform raw data into actionable insights, dashboards, and compelling stories that guide decision-making and support strategy.
- Operations & System Optimisation: Improve marketplace and operational systems by balancing supply and demand, unit economics, service quality, and cost through pricing, forecasting, and algorithmic adjustments.
Turkish
Native or bilingual
English
Fluent
Dutch
Conversational
Can work on-site
Amsterdam (up to 50km)
Experience
- Via Transportation, Transit Tech SaaSProduct Manager: Data & InsightsTECHMay 2023 - August 2025 (2 years and 3 months)Amsterdam, Netherlands
- Owned end-to-end B2B data and insights products for 500+ partners globally, supporting decision-making across complex operational systems.
- Led product discovery, definition, and delivery across backend and frontend: event instrumentation, data models, analytics UX, reporting, and user flows.
- Defined and executed the roadmap for a 15-person cross-functional data organization spanning six squads, with backlog ownership and prioritization, aligning product, engineering, data science, operations, and commercial teams around measurable outcomes.
- Built scalable, role-based platforms to support different levels of technical maturity: standardized reporting dashboards and exports, self-serve analytics via embedded Looker, direct data access via Snowflake APIs.
- Acted as product counterpart to multiple core product teams (driver/rider apps, supply optimization, algorithmic logic, account management), translating complex systems into clear and consistent definitions (incl. Uber/Lyft integrations).
- Introduced staged rollouts, monitoring frameworks, and feedback loops to ensure safe adoption and continuous improvement at scale.
- Designed permissions, access control, and PII-safe reporting, enabling correct data visibility.
- Led compliance-critical reporting for 150+ partners and partner billing automation, ensuring regulatory accuracy and alignment with finance, legal, and C-level stakeholders.
- Designed trusted data models surfacing complex system behavior for high-stakes product and commercial decisions, for instance diver risk classification driving 3–20% insurance cost reductions across 120+ cities.
- Via Transportation, Transit Tech SaaSStrategic Operations PrincipalTECHJune 2020 - May 2023 (2 years and 11 months)Amsterdam, Netherlands
- Scaled Via from B2C to B2B SaaS (30 → 400 partners) by collaborating end-to-end with public authorities and private operators.
- Advised partners across the full service lifecycle: service design, pricing, growth, efficiency, and quality, translating operational and behavioral insights into repeatable systems for reliable scaling.
- Led customer, behavioral, and algorithmic discovery with a 4-person data science team during major platform migrations and the launch of Via’s first pre-booked ride product.
- Led building of a causal inference tool to statistically measure the impact of tech stack changes on service KPIs.
- Translated insights into product features, algorithm adjustments, and operational constraints, improving availability (+30%), ride durations (-10%), and operational efficiency (+5%) across 200+ services.
- Service design & operations modeling: designed new microtransit, paratransit, and fixed-route networks using demand forecasting, vehicle allocation, and efficiency modeling; tools now used by partners to inform capacity, demand, and long-term service viability, generating $12M incremental revenue.
- Built “QBR in a Box”, a holistic dashboard for quarterly business reviews and daily operations, aggregating KPIs (on-time performance, utilization, ride durations, detour times, rider feedback) and integrating dynamic visualizations (heatmaps of demand vs. supply, service segment performance, real-time alerts) to identify bottlenecks, track trends, and generate actionable recommendations for commercial, product, and data teams.
- Developed AD&I Tool for U.S. services, combining census and non-census demographic data to highlight underserved communities and inequities in pricing, payment access, and quality of service, informing operational and strategic decisions.
- Viavan - Via Transportation, Transit Tech SaaSMarketplace Operations (Associate/Associate Principal)TECHJuly 2018 - June 2020 (1 year and 11 months)Amsterdam, Netherlands
- Scaled ridership 5× (5K → 25K rides/week) within six months through improved service reliability and quality of service.
- Applied data driven insights to optimize marketplace dynamics and achieved sustainable operational margins through supply-demand balancing, pricing, driver pay and algorithm optimization.
- Improved rider experience through data-driven experiments on pickup points, routing, and service design, incorporating human behavior insights on willingness to walk, delay sensitivity, incentive response and translating findings into product and algorithm updates in live urban contexts (e.g. canal-heavy Amsterdam).
- Owned rider app performance and feature rollout locally, coordinating with product and engineering teams to implement new features efficiently.
- Managed operations during high-demand events (NYE, Pride, ADE, King’s Day), ensuring quality of service and operational continuity.
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Education
- MSc in EntrepreneurshipUniversity of Amsterdam & Vrije Universiteit2016Graduated Cum Laude
- BSc in Industrial Engineering, Minor in Art TheorySabancı University2014Graduated with Dean's Honour, top 5% of the faculty