Nivoda Logo

Nivoda

Pricing Systems Lead (United States)

Posted 8 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
Senior level
The Pricing Systems Lead will build and operate the analytical foundation for pricing decisions. Responsibilities include designing pricing experiments, ensuring pricing coherence across teams, developing pricing intelligence systems, and turning data into commercial insights.
The summary above was generated by AI
About Nivoda

Nivoda is building the global marketplace for jewellery.

Our platform connects retailers and suppliers across diamonds, gemstones, and finished jewellery, already enabling more than $300M in annual transactions and growing rapidly toward a billion-dollar scale.

We operate across multiple economic layers: marketplace trading, fulfilment, logistics, and fintech services. Pricing exists across each of these layers and directly determines liquidity, margin, and growth.

To scale the platform effectively, pricing must evolve from isolated decisions into a coordinated, data driven system.

About the Role

We are hiring a Pricing Systems Lead to build and operate the analytical and systems foundation behind pricing across Nivoda.

This role does not set prices for individual products. Domain leaders own their P&L and pricing decisions. Instead, this role ensures pricing across the company works as a coherent system.

You will connect data, experimentation, and product infrastructure to help the business understand pricing behaviour, measure elasticity, and identify opportunities across marketplace, fulfilment, and fintech products.

Your job is to ensure that pricing decisions across the platform are informed, coordinated, and continuously optimised.

What You'll Do

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.

What You Are
  • 5-7+ years working in pricing analytics, marketplace analytics, or data science roles.

  • Strong analytical and modelling skills with experience working with large datasets.

  • Experience working in a marketplace or two sided platform.

  • Experienced in running experiments or analysing pricing elasticity.

  • Comfortable working across product, finance, and commercial teams.

  • Commercially minded. You understand how pricing decisions affect supply, demand, and platform behaviour.

  • Clear communicator who can translate analytical work into business decisions.

Preferred Qualifications
  • Exposure to dynamic pricing systems or pricing engines.

  • Experience in ecommerce, fintech, marketplaces, or trading environments.

What We Offer

🕰️ Flexible working hours and a vibrant company culture
💻 Remote work
🏥 Medical (United Healthcare), Dental, & Vision (Guardian Life) benefit

💸 401K benefit (Guideline Inc)
🧠 Plenty of opportunities for growth and learning
🏖️ Unlimited holiday allowance
🚀 Chance to join and contribute to a company during its exponential expansion phase
Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.
Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly.

This is a full time, permanent position that's remote within United States. Unfortunately, we are unable to offer sponsorship at this time.


*If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up.
You can sign up here:
Nivoda Talent Pool

This ensures you're among the first to hear about openings aligned with your skills and interests.

Top Skills

Data Analysis
Data Science
Experimentation
Pricing Systems

Similar Jobs

An Hour Ago
Easy Apply
Remote
USA
Easy Apply
40-60 Hourly
Mid level
40-60 Hourly
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The role involves producing, validating, and maintaining programmatic content related to AI/ML, ensuring technical accuracy and quality. Collaboration with marketing and engineering teams is important, and the position requires attention to detail and experience with AI tools.
Top Skills: Ai ToolsSQL
An Hour Ago
Easy Apply
Remote
USA
Easy Apply
115K-150K Annually
Mid level
115K-150K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
The Digital Marketing Manager will oversee Runpod's paid and organic digital marketing strategies, manage agency relationships, and optimize campaigns to drive acquisition and brand awareness.
Top Skills: AhrefsGa4Google AdsHubspotSemrushSeo
An Hour Ago
Remote or Hybrid
VA, USA
100K-140K Annually
Senior level
100K-140K Annually
Senior level
Information Technology
The Principal Solutions Executive is responsible for driving sales in security services, managing client relationships, and achieving revenue targets through strategic planning and execution.
Top Skills: Salesforce

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account