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Commercial Modeling Jobs (NOW HIRING)

You will create financial models to assess proposals and pricing options, and collaborate x-functionally to ensure alignment across the business. * Commercial Business Partnering: Finance support to ...

Strong understanding of commercial structures, pricing models, and contract terms. * Demonstrated ability to interpret RFP requirements and develop compliant, competitive responses. * Excellent ...

Strategic Deal Pricing & Commercial Modeling * Partner with Sales and Advisory/Consulting teams to develop pricing models for large and complex deals based on customer value proposition and ...

Commercial Appraiser

Asheville, NC · On-site

$58K - $74K/yr

Commercial Appraiser Department: Tax Assessment External Hiring Range: $58,450.38 - $74,144.21 ... Translation of market data and internal analysis results into Income Approach models for valuation ...

Strategic Deal Pricing & Commercial Modeling * Partner with Sales and Advisory/Consulting teams to develop pricing models for large and complex deals based on customer value proposition and ...

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How much do commercial modeling jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for commercial modeling in the United States is $20.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.60 per hour, depending on experience, location, and employer.

What is a Commercial Modeling job?

A Commercial Modeling job involves working with brands, companies, and advertisers to promote products or services through print, digital, and video advertisements. Commercial models appear in magazines, social media campaigns, TV commercials, product packaging, and billboards. Unlike high-fashion modeling, commercial modeling focuses on relatability and diversity, meaning models of all ages, sizes, and looks can succeed. Strong posing skills, expressive facial expressions, and comfort in front of the camera are essential. Commercial models often work with photographers, marketing teams, and casting agents to bring a brand's vision to life.

What are the key skills and qualifications needed to thrive in the Commercial Modeling position, and why are they important?

To thrive in Commercial Modeling, you need a strong portfolio showcasing photogenic qualities, body awareness, and the ability to express a range of emotions for camera and audience appeal. Familiarity with casting platforms, digital submission processes, and, in some cases, posing workshops or modeling certifications can be beneficial. Strong communication skills, professionalism, reliability, and the ability to take direction gracefully are important soft skills for this field. These attributes help models stand out to clients and agencies, ensuring successful collaborations and repeat opportunities in a highly competitive industry.

What does a typical workday look like for a Commercial Model?

A typical day for a Commercial Model can vary widely, but often includes traveling to photo shoots or video sets, collaborating with photographers and creative teams, and participating in fittings or rehearsals. Models may spend significant time preparing their appearance, practicing poses, and adapting to the creative vision of each client. Flexibility is key, as schedules may change with short notice and shoots can last several hours. Additionally, models often handle administrative tasks such as updating their portfolios, attending auditions ('go-sees'), and communicating with agencies or clients. This dynamic environment offers variety but also requires adaptability and strong time management skills.

More about Commercial Modeling jobs
What cities are hiring for Commercial Modeling jobs? Cities with the most Commercial Modeling job openings:
What are the most commonly searched types of Commercial Modeling jobs? The most popular types of Commercial Modeling jobs are:
What states have the most Commercial Modeling jobs? States with the most job openings for Commercial Modeling jobs include:
Infographic showing various Commercial Modeling job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $42,819 per year, or $20.6 per hour.
Product Manager - Commercial Modeling & Simulation

Product Manager - Commercial Modeling & Simulation

Verse

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Location: San Francisco, CA (Hybrid)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence-replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
We're looking for a Product Manager to own the end-to-end modeling and simulation platform for distributed storage and solar assets.
You'll own the simulation engine that co-optimizes battery dispatch, bill savings, coincident peak reduction, and grid services revenue across multi-year project lifetimes. And you'll own the interfaces that let Solutions Engineers generate customer proposals and enterprise energy teams validate ROI across hundreds of sites. Your platform is where messy customer data (interval load files in inconsistent formats, solar production exports, complex utility tariffs across thousands of rate schedules) gets cleaned, unified, and transformed into defensible financial analysis.
This role sits at the intersection of energy economics, data science, and enterprise product design. You'll work closely with enterprise customers and sales teams to ensure that outputs meet the standard required to drive real capital allocation decisions. You'll engage with Data Science to build tariff modeling, dispatch simulation, and scenario analysis capabilities. You'll partner with Engineering to scope data ingestion pipelines, simulation infrastructure, and a UI that makes complex modeling accessible to non-technical users.
Key Responsibilities
  • Own the product vision and roadmap for Verse's commercial modeling platform, spanning data ingestion and cleaning, tariff modeling, dispatch simulation, scenario analysis, and customer-facing results visualization.
  • Drive the data pipeline strategy for ingesting and normalizing customer-provided meter data across varying formats, granularities, time zones, and quality levels.
  • Partner with Data Science to scope and deliver simulation capabilities including battery and solar dispatch modeling, multi-value-stream co-optimization (bill savings, coincident peak, grid services), revenue stacking, sensitivity analysis (including Monte Carlo methods), and multi-year lifecycle projections.
  • Own the tariff modeling layer, working with Data Science and Engineering to build and maintain accurate representations of utility rate structures (TOU, demand charges, capacity markets, wholesale exposure) that can be applied to both retrospective bill validation and forward-looking savings forecasts.
  • Scope and deliver a simulation UI that allows users to configure inputs, run and compare scenarios, save and retrieve historical results, and export presentation-ready outputs, serving both technical analysts and commercial stakeholders.
  • Collaborate with commercial teams to ensure modeling outputs (proposals, financial models, before/after billing calculators, portfolio rollups) meet the rigor required to close enterprise deals and inform capital allocation decisions.
  • Conduct user research with energy analysts, sales engineers, portfolio managers, and enterprise energy teams to deeply understand evaluation workflows, data availability constraints, and decision criteria.
  • Write detailed PRDs with user stories, acceptance criteria, and technical specifications, coordinating delivery across Engineering, Data Science, and Design against contractual milestones.

What We're Looking For (Minimum Qualifications)
  • 5+ years of product management experience building data-intensive analytics or simulation software.
  • Experience building products that involve financial modeling, scenario analysis, or techno-economic evaluation.
  • Strong technical foundation: comfortable with data pipelines, ETL workflows, time-series data, and working deeply with data scientists and engineers on modeling methodology.
  • Experience working with enterprise customers where product outputs directly inform purchasing decisions, investment cases, or contract negotiations.
  • Familiarity with complex pricing or rate structures, whether in energy (utility tariffs), financial services, insurance, or another domain where pricing logic is non-trivial to model.
  • Excellent written and verbal communication skills, with experience writing PRDs, presenting to executives, and translating between technical and commercial teams.
  • Track record of shipping products from concept through launch and iteration in an agile environment, ideally with experience managing delivery against contractual or compliance milestones.

What Will Make You Stand Out (Preferred Qualifications)
  • Experience building sales engineering, CPQ (configure-price-quote), or proposal automation tools where product outputs are directly embedded in customer-facing sales workflows.
  • Direct experience in energy or cleantech. An understanding of utility rate structures (TOU, demand charges, NEM, capacity markets), distributed energy resource economics, or wholesale electricity market mechanics.
  • Experience building or working with simulation, optimization, or forecasting tools including dispatch modeling, Monte Carlo analysis, sensitivity analysis, or scenario planning platforms.
  • Familiarity with solar or battery storage project economics including PPA structures, degradation curves, revenue stacking, or investment evaluation workflows.
  • Background in data cleaning, data quality, or data integration products.
  • Experience at early-stage startups building products from zero to one, particularly where you've had to balance a contractual delivery obligation with a parallel market opportunity.
  • Technical degree (Engineering, Physics, Applied Math, Energy Systems) or equivalent hands-on experience.

What makes Verse a great place to work?
Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations
Base Pay Range
$130,000-$200,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks
  • Competitive compensation and equity grant at a high-growth start up
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k
  • Flexible hours and unlimited PTO
  • Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.