Nivoda

Product Manager

• Define and own the growth roadmap across acquisition, activation, retention, and monetization (AARRM) in alignment with company goals.
• Identify growth opportunities by analyzing the full user funnel and pinpointing bottlenecks, drop-offs, and high-leverage levers.
• Build and maintain a prioritized backlog of growth experiments, ensuring systematic testing and iteration.
• Design, launch, and analyze A/B tests and multivariate experiments to validate growth hypotheses.
• Translate quantitative data and qualitative user research into actionable product decisions.
• Define, track, and report on key growth KPIs (e.g. activation rate, DAU/MAU, retention curves, conversion rates, LTV/CAC).
• Partner with engineering, design, and data teams to scope, build, and ship growth-focused features (e.g. onboarding flows, referral programs, upsell prompts, lifecycle nudges).
• Optimize in-product experiences that drive user activation and reduce time-to-value.
• Work with marketing to align product touchpoints with go-to-market campaigns and lifecycle communications.
• Serve as the connective tissue between the Growth team and core product, marketing, sales, and data teams.
• Present growth strategies, experiment results, and roadmap priorities to senior stakeholders.
• Contribute to a culture of experimentation and continuous learning across the organization.

Senior Product Manager – Growth

Data Scientist

• Build and iterate on predictive models that move us from ranges (e.g. '3–5 days') to accurate, specific delivery dates
• Incorporate hub performance data, team throughput, and routing logic to continuously improve prediction accuracy
• Develop and own demand forecasting models for Express offerings across diamonds, melee, gemstones, and jewellery
• Determine optimal inventory levels by hub and product type to meet demand without overstocking
• Identify opportunities to reduce lead times and improve fulfilment accuracy across the network
• Partner closely with data engineering team to define data requirements and build robust pipelines
• Surface actionable insights to the Fulfilment org to drive speed and accuracy — two of the company's three core pillars (quality, speed, price)

Data Scientist, Fulfilment

Data Analyst

• Turn GTM Data Into Clarity
• Build visibility across the entire revenue funnel.
• Own core GTM dashboards across lead → opportunity → revenue → retention.
• Track funnel performance, conversion rates, sales velocity, pipeline health, and forecast accuracy.
• Proactively surface insights;
• Support Funnel Optimisation: Help make the revenue funnel perform like a machine.
• Analyse funnel drop-offs, slowdowns, and inconsistencies across regions and segments.
• Partner with RevOps to measure the impact of new lead routing, scoring, automation, and experiments.
• Forecasting & Performance Tracking: Support weekly, monthly, and quarterly forecasting alongside RevOps, Sales, and Finance.
• Track actuals vs forecast and help identify root causes of variance.
• Data, Systems & Foundations: Help scale clean, reliable GTM data.
• Work hands-on with CRM and GTM data to ensure accuracy, consistency, and usability.
• Maintain clear metric definitions and reporting logic as the business scales.
• Strategic & Ad-Hoc Analysis: Support high-impact GTM decisions.
• Build analyses for territory planning, segmentation, capacity modeling, and performance benchmarking.

GTM Data Analyst

• Build the Pricing Intelligence System
• Create the analytical foundation that powers pricing decisions across the company.
• Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour.
• Build visibility into how pricing performs across different product categories and services.
• Your impact: pricing becomes measurable and controllable rather than opaque.
• Design and Run Pricing Experiments
• Introduce experimentation into pricing decisions.
• Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures.
• Work with Product and Engineering across all domains to implement safe and scalable experimentation.
• Your impact: pricing decisions are grounded in evidence.
• Connect Pricing Across the Platform
• Ensure pricing decisions across teams work together.
• Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities.
• Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth.
• Your impact: pricing operates as a unified system rather than disconnected decisions.
• Build the Foundations of a Pricing Engine
• Partner with Data and Engineering to move pricing logic into scalable systems.
• Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time.
• Your impact: pricing becomes scalable as the platform grows.
• Turn Data Into Clear Commercial Insight
• Translate complex analysis into decisions leaders can act on.
• Provide clear insight into pricing behaviour across the platform.
• Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour.
• Your impact: pricing becomes a strategic lever for the business.

Senior Product Manager – Growth

Data Scientist, Fulfilment

GTM Data Analyst

Data Scientist – Pricing