Senior Pricing Manager

Transit Technologies; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Opportunity to shape monetization strategy

High-visibility role

Impact on public infrastructure

Job summary

A leading transit technology firm in the United States is looking for a Senior Pricing Manager. This role requires a strategic individual to develop and optimize pricing strategies for SaaS and AI-driven solutions. With at least 7 years of relevant experience, the ideal candidate will leverage advanced analytics and AI tools to drive revenue growth. The position offers a high-visibility role impacting margin performance and successful pricing governance in a mission-driven organization.

Qualifications

• At least 7 years of experience in a relevant role.
• Ability to develop pricing models for SaaS and AI-driven solutions.
• Experience in competitive analysis within SaaS and mobility markets.

Responsibilities

• Own the development of pricing strategy across SaaS platforms.
• Leverage data science and AI tools for pricing decisions.
• Conduct competitive pricing analysis.

Skills

Experience in pricing, revenue strategy, or monetization

Advanced financial modeling and analytical skills

Experience leveraging AI tools and advanced analytics

Supporting enterprise or public sector sales cycles

Education

MBA or advanced degree in Business, Finance, Economics, or Data Science

Tools

Excel

BI tools

SQL or similar

Job description

Transit Technologies is transforming public transportation systems through modern SaaS platforms, data intelligence, and AI-driven insights. We partner with transit agencies and mobility providers to deliver solutions that improve operational efficiency, rider experience, and system performance.

As we scale our product portfolio and AI capabilities, we are seeking a strategic and analytical Senior Pricing Manager to lead pricing strategy, monetization, and AI-enabled pricing optimization across our SaaS and transit solutions.

Role Overview

The Senior Pricing Manager will own the development, execution, and continuous optimization of pricing strategy across our SaaS platforms and AI-powered solutions. This role blends SaaS monetization expertise, transit industry knowledge, and advanced analytics to drive sustainable revenue growth and margin expansion.

You will leverage data science, AI tools, and advanced modeling to enhance pricing decisions, optimize deal structures, and support long-term partnerships with transit agencies and enterprise mobility operators.

Key Responsibilities

Pricing Strategy & Monetization

• Develop and evolve pricing models for SaaS and AI-driven solutions (subscription, usage-based, tiered, enterprise, outcome-based, hybrid models).
• Design monetization strategies for data products, analytics tools, and AI-enabled features.
• Align pricing structures with value delivered to transit agencies.
• Lead packaging and bundling strategies tailored to public sector procurement and enterprise contracts.
• Design pricing for new product launches and feature expansions.
• Leverage AI tools and advanced analytics to model pricing elasticity, discount optimization, and revenue scenarios.
• Implement predictive analytics to improve forecast accuracy and customer lifetime value modeling.
• Conduct experimentation (A/B testing, segmentation analysis) tooptimizepricing and packaging.
• Partner with Data Science and Product teams to embed pricing intelligence into internal dashboards.
• Build andmaintainadvanced pricing and revenue models.
• Analyze ARR, MRR, churn, expansion, and usage trends to inform pricing adjustments.
• Partner with Finance tooptimizemargin performance and long-term profitability.

Market & Competitive Analysis

• Conduct competitive pricing analysis within SaaS and mobility/transit technology markets.
• Analyze procurement trends, public sector funding cycles, and RFP structures.
• Monitor industry benchmarks and recommend pricing adjustments tomaintainmarket leadership.
• Support Sales in complex, multi-year enterprise and public sector negotiations.
• Develop intelligent discount frameworks supported by predictive modeling.
• Establish pricing governance processes andapprovalworkflows.
• Create self-service pricing tools and calculators for Sales and Customer Success teams.

Cross-Functional Leadership

• Collaborate with Product to quantify value metrics and monetization opportunities
• Work with Marketing on positioning and value communication.
• Present pricing recommendations and business cases to executive leadership.

Qualifications

Required

• 7+ years of experience in pricing, revenue strategy, or monetization within a SaaS environment.
• ExperienceleveragingAI tools, advanced analytics, or data science methodologies for pricing optimization.
• Advanced financial modeling and analytical skills (Excel, BI tools,SQLor similar).
• Experience supporting enterprise or public sector sales cycles.

Preferred

• Experience in transit, mobility, transportation technology, orGovTech.
• Familiarity with public transit agency procurement and funding structures.
• Experience working with pricing optimization platforms or AI forecasting tools.
• MBA or advanced degree in Business, Finance, Economics, or Data Science.

Why Join Transit Technologies?

• Shape the monetization strategy of a fast-growing transit technology platform
• High-visibility role with direct impact on revenue and margin performance
• Work at the intersection of SaaS, AI, and real-world public infrastructure
• Mission-driven organization improving mobility, accessibility, and sustainability

12-Month Success Metrics & KPIs

First 90 Days

• Complete full pricing assessment across all SaaS and AI offerings.
• Deliver pricing diagnostic reportidentifyingmargin expansion and revenue optimization opportunities.
• Establish pricing governance framework and discount approval process.
• Build baseline pricing performance dashboard (ARR, discounting, win rates, deal velocity).

6-Month Milestones

• Launch at least one optimized pricing or packaging update based on data insights.
• Implement AI-driven pricing analysis framework (elasticity modeling, scenario simulation, or CLV forecasting).
• Reduce average discretionary discounting by X% whilemaintainingor improving win rates.
• Improve forecast accuracy for pricing-related revenue projections by X%.

12-Month Impact

• Increase ARR or expansion revenue attributable to pricing initiatives by X–X%.
• Improve gross margin by X–X% through pricing optimization and packaging changes.
• Establish scalable pricing infrastructure to support new AI-powered product launches.
• Demonstrate measurable uplift in monetization of AI and data features.

(Final KPI targets will be aligned to company growth goals and stage.)