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Model Scout Jobs in New York (NOW HIRING)

Senior Product Manager - Scout

New York, NY · On-site +1

$205K - $225K/yr

As the PM for Scout, you own the product from strategy through execution. That means deciding what ... Define analyst workflows end-to-end: understand what analysts actually do in modeling, comps, and ...

SCOUT-ET's unique staffing model is designed to act as a seamless extension of your supply chain. We will be able to provide dedicated account management resources to specifically work on your ...

SCOUT-ET's unique staffing model is designed to act as a seamless extension of your supply chain. We will be able to provide dedicated account management resources to specifically work on your ...

SCOUT-ET's unique staffing model is designed to act as a seamless extension of your supply chain. We will be able to provide dedicated account management resources to specifically work on your ...

About Scout Group Scout Group is a proprietary trading firm built on a clear thesis: consistent ... Partner with quantitative researchers and engineers to enhance models, execution quality, and ...

SCOUT-ET's unique staffing model is designed to act as a seamless extension of your supply chain. We will be able to provide dedicated account management resources to specifically work on your ...

Associate, Ecommerce

Manhattan, NY · Hybrid

$66K - $80K/yr

Millions of Girl Scout alums across the country and the world have gone on to achieve incredible ... Working knowledge of B2C and B2B/wholesale ecommerce models, including differences in user needs ...

Develop and maintain financial models, dashboards and presentations that track and analyze our ... We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed ...

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Model Scout information

See New York salary details

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How much do model scout jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for model scout in New York is $14.66, according to ZipRecruiter salary data. Most workers in this role earn between $9.47 and $18.94 per hour, depending on experience, location, and employer.

What is a model scout?

Model scouts are professionals who search for and identify potential modeling talent for agencies, brands, or fashion shows. They often travel to public places, events, or use social media to find individuals who fit specific criteria for modeling opportunities. Their goal is to discover new faces, assess suitability for the industry, and help guide aspiring models through the initial steps of their careers. Model scouts play a crucial role in connecting talent with reputable agencies and ensuring a steady flow of fresh faces in the fashion industry.

How does a model scout typically collaborate with modeling agencies and clients to discover new talent?

Model Scouts work closely with modeling agencies by identifying promising new talent and facilitating introductions between potential models and agencies. They often attend industry events, fashion shows, and public spaces to spot individuals who fit the agency’s criteria. Once a potential model is found, scouts usually coordinate photoshoots, portfolio development, and initial interviews. Their collaboration with clients and agencies is essential for matching the right faces to specific campaigns or projects, ensuring that both the talent and agency needs are met effectively.

What are the key skills and qualifications needed to thrive as a model scout, and why are they important?

To thrive as a Model Scout, you need a keen eye for unique talent, knowledge of fashion industry standards, and experience in talent evaluation, often supported by a background in fashion or talent management. Familiarity with digital portfolios, modeling agency databases, and social media platforms is typically required to identify and track potential models. Strong networking, interpersonal, and communication skills help build relationships with aspiring models and industry professionals. These abilities are crucial for discovering promising talent and successfully matching them with the right opportunities in a highly competitive industry.

What is the difference between Model Scout vs Model Agent?

AspectModel ScoutModel Agent
CredentialsPortfolio, industry knowledgePortfolio, agency license, contracts
Work EnvironmentScouting events, online platformsAgency offices, client meetings
Employer & Industry UsageFashion brands, agencies, scoutsModeling agencies, clients
Search & Comparison IntentFinding new talentManaging and representing models

Model Scouts focus on discovering new talent and evaluating portfolios, often working independently or with agencies. Model Agents, however, represent models professionally, handling contracts, bookings, and career development. While both roles are essential in the modeling industry, Scouts primarily identify potential, whereas Agents manage ongoing careers.

How do I get scouted as a model?

Model scouts typically find potential models through open casting calls, social media platforms, or industry events. Building a professional portfolio, maintaining good grooming, and having a versatile look can increase visibility. Being proactive and approachable can also improve chances of being noticed by scouts.

How much do model scouts get paid?

Model scouts typically earn between $30,000 and $70,000 annually, depending on experience, location, and the company they work for. Compensation may include base salary, commissions, or bonuses based on successful model placements.

What are popular job titles related to Model Scout jobs in New York?

For Model Scout jobs in New York, the most frequently searched job titles are:

What job categories do people searching Model Scout jobs in New York look for?

The top searched job categories for Model Scout jobs in New York are:

Infographic showing various Model Scout job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $30,487 per year, or $14.7 per hour.

Senior Product Manager - Scout

New York, NY • On-site, Remote

$205K - $225K/yr

Full-time

Re-posted 12 days ago


Job description

About Daloopa, Inc.
Daloopa is transforming how investment professionals work. Our mission is to eliminate the slow, error-prone parts of fundamental research-without sacrificing accuracy or auditability.
Founded by a former equity research analyst and top engineers, we built an AI-powered platform that converts complex financial filings, transcripts, and KPIs into clean, hyperlinked, customizable data. This means analysts spend less time on manual tasks and more time generating insights that drive performance.
Today, Daloopa powers the workflows of leading investment teams worldwide-helping them move faster, think deeper, and make every decision with confidence. If you're passionate about building technology that solves real-world problems and want to make an impact, join us and help redefine the future of investment research.
Daloopa was named one of Fast Company's Most Innovative Companies in 2026!
Why Daloopa?
  • Competitive pay + performance incentives
  • Equity in a fast-growing FinTech
  • Hybrid work schedule (3 days in-office)
  • Career growth and mentorship opportunities
  • A vibrant, collaborative culture
  • Full benefits package

About the Role
Location: New York City (Hybrid office/remote schedule)
Compensation: $205k - $225k annualized + equity + benefits (This range is reflective of level of contribution. Candidates who fully match what we're looking for in this role will be at the top of the range.)
About the Role
Scout is Daloopa's AI-native product for the analyst workflow: not a prompt tool, not a chatbot, but an agent that understands what analysts are doing and works alongside them. As the PM for Scout, you own the product from strategy through execution. That means deciding what gets built, why it gets built, and making sure it actually changes how analysts work. This is not a coordination role. You will have real ownership, real accountability, and the room to make calls that shape one of the company's biggest product bets.
The problem space is challenging. Financial analysts are expert users with low tolerance for noise and high expectations for accuracy. Building AI products in that context requires understanding both the workflow and the technology well enough to make honest tradeoffs. You need to know when AI is the right answer and when it is not. If you have shipped AI products that changed user behavior, stayed close to the technical work, and are ready to do that again at a company that is still early enough for your decisions to matter, this is your seat.
What You'll Do
  • Own the Scout product roadmap: set the direction, sequence the bets, and sure every bet ladders up to a company objective.
  • Define analyst workflows end-to-end: understand what analysts actually do in modeling, comps, and research, and build against the real workflow, not the idealized one.
  • Work directly with engineering and design daily: write actionable specs, participate in technical design discussions, and make real-time decisions when the work surfaces new constraints.
  • Drive repeat usage by defining what healthy engagement looks like for a workflow shaped by the quarterly earnings cycle, instrument it properly and turn first uses into the repeat behavior that compounds into durable retention.
  • Evaluate AI output quality: build evaluation frameworks, define accuracy and confidence standards, and hold the bar on what ships.
  • Own analyst discovery: get in the room with users, watch the real workflow, and come back with a decision and the evidence behind it.
  • Enable the GTM team: give sales and CS the product context they need to sell and retain, and stay close enough to the field to hear what is not working.
  • Prototype and pressure-test ideas directly: use AI tools to build working prototypes, put them in front of customers to validate or kill your hypotheses, and discard weak ideas before they consume engineering time.

Who You Are
  • You have 5+ years of product management experience and have owned an AI product or a complex workflow product end-to-end, not as a contributor, as the owner.
  • You can walk through the hardest problem you hit shipping an LLM-powered product and what you changed, whether the fix was in evals, tool design, retrieval, or prompting.
  • You have worked closely enough with engineers to understand implementation tradeoffs, not just outcomes.
  • You have partnered with a designer through real disagreement and know the difference between a UX opinion and a UX decision.
  • You are comfortable sitting with expert users, asking uncomfortable questions, and changing your roadmap because of what you heard.
  • You have built for expert users in a technical domain. Direct exposure to financial workflows, Excel-native products or data-heavy tools is a strong plus
  • You write clearly, speak directly, and do not need a lot of process around you to produce results.
  • You have operated in a startup or early-stage environment and know what it means to work without a support structure.
  • You already use AI tools in your daily work and can show it, not just say it.

Success Looks Like
  • Within 90 days, you know the Scout product deeply: every user flow, every known failure mode, and every open bet on the roadmap.
  • Within a few months, you have shipped at least one meaningful workflow improvement that changed how analysts use the product, with data to show it.
  • Within 12 months, Scout's retention and engagement metrics have moved and you can trace the movement back to specific product decisions.
  • The GTM team can demo Scout confidently, object to competitive claims, and explain what makes it different, because you gave them the context to do it.
  • Engineering and design treat you as the person who makes the hard call, not the person who waits for consensus.

Apply
Show us AI products you have shipped and what happened after launch. We want to see the before and after: what changed, what you measured, and what you would do differently. If you have built evaluation frameworks, run user research in technical domains, or made a hard call on an AI product that you can walk through in detail, we want to hear about it.