Rebtel

Pricing Analyst

• Own pricing across all Rebtel products, including international calling, mobile top-ups, subscriptions, fees, and other monetization points
• Set prices that are attractive to customers, competitive in the market, and supportive of profitable growth
• Develop new pricing constructs, including unlimited plans, fixed-minute packs, country-specific offers, bundles, and promotional pricing
• Own the end-to-end pricing process, from supplier cost ingestion and competitive benchmarking to price implementation and performance measurement
• Analyze pricing performance, margins, elasticity, customer behavior, and market dynamics to inform pricing decisions
• Lead the day-to-day work of the pricing team, setting priorities, coaching team members, and improving ways of working
• Drive the automation of pricing workflows, reducing manual processes and building scalable pricing systems
• Apply AI and modern analytical tools to competitor monitoring, pricing analysis, anomaly detection, and pricing recommendations
• Partner closely with Product to shape new commercial offerings and bring pricing innovations to market
• Budgets and Forecast including follow up on actuals; Presentations and reports to key stakeholders
• Work with Procurement to understand supplier cost structures, quality trade-offs, and their impact on pricing strategy
• Collaborate with Finance and Growth teams to evaluate margin impact, conversion performance, and commercial outcomes
• Establish clear reporting and performance tracking for pricing, margin development, competitive position, and pricing initiatives
• Serve as the company’s source of truth for pricing decisions across new products, markets, promotions, and commercial opportunities
• Take ultimate responsibility for pricing decisions that support sustainable growth while protecting Rebtel’s profitability.

Pricing Manager

Machine Learning Engineer

• As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel.
• What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines.
• AI is going from a side project to the core of how Rebtel operates and what we ship to our users.
• We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both.
• You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up.
• You'll own work across two complementary tracks, and you'll ship in both.
• Classical ML, in production, for operational leverage
• Risk and fraud models across payments, top-ups, and account behaviour
• Churn prediction and retention modelling on a user base of a million-plus
• Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet
• Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features
• Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses
• Move LLM capability into the product as user-facing features
• Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems.