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Ai Retail Jobs (NOW HIRING)

Inviting applications for the role of Director - Data & AI Retail In this role you will be responsible to work alongside a specialized group of sellers to grow Data & AI business across new and ...

A leader in vision AI solutions for the world's leading retailers. Are you a builder who wants to be part of a world-class, destination sales team? Do you thrive on creating value and understanding ...

Retail Specialist

$60 - $80/hr

You will help bring practical retail judgment to AI training data by identifying knowledge gaps, designing realistic retail scenarios, and assessing whether AI-generated responses accurately reflect ...

Marketing Manager

Iselin, NJ · On-site

$120K - $150K/yr

... AI, retail technology, and digital commerce. We move fast, innovate constantly, and care deeply about our clients, our partnerships, and our people. Position Overview We are seeking a highly driven ...

Marketing Manager

Iselin, NJ · On-site

$120K - $150K/yr

... AI, retail technology, and digital commerce. We move fast, innovate constantly, and care deeply about our clients, our partnerships, and our people. Position Overview We are seeking a highly driven ...

New

Enterprise Account Executive

Chicago, IL · Remote

$250K - $300K/yr

Experience selling solutions involving Computer Vision, AI, Retail Analytics, Store Audits, Retail Media, Field Execution, or Category Management is highly preferred. * Familiarity with the retail ...

AI Architect - Retail Domain Location: Duluth, GA (Hybrid - 3 days onsite) Job Type: Full Time /Contract (both) Experience: 12+ years Job Overview Key Responsibilities * Define and drive AI strategy ...

AI Transformation Lead About the Role Raspberry AI is looking for an AI Transformation Lead to help the world's leading fashion and retail brands rethink how product creation happens in the age of ...

AI Architect Retail / GenAI Location: Duluth, GA Hybrid (3 days onsite) Experience: 12+ Years Employment Type: Full-Time & Contract - Full-Time Preferred Joining: Short Notice Preferred Job Summary ...

$90 - $199/hr

Role and ResponsibilitiesStrategic Planning Act as the 'tip of the spear' for AI, retail, pharmacy, and market intelligence, bringing critical insights on evolving product and market landscape(s) and ...

Showing results 41-60

Ai Retail information

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How much do ai retail jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai retail in the United States is $15.77, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $16.83 per hour, depending on experience, location, and employer.

What can AI do in retail?

AI in retail, including roles like AI Retail specialists, can automate inventory management, personalize customer experiences, and optimize pricing strategies. It involves skills in data analysis, machine learning tools, and understanding consumer behavior to improve operational efficiency and sales. AI applications help retailers make data-driven decisions and enhance customer engagement.

What cities are hiring for Ai Retail jobs?

Cities with the most Ai Retail job openings:

What states have the most Ai Retail jobs?

States with the most job openings for Ai Retail jobs include:

Infographic showing various Ai Retail job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $32,808 per year, or $15.8 per hour.

Co-Founder & CEO - AI Retail Planning Autopilot (Austin)

FutureSight

Austin, TX • On-site

Part-time

Re-posted 5 days ago


Job description

The Opportunity

FutureSight is seeking a Co-Founder & CEO to lead Maestro, an AI-native inventory-planning intelligence venture currently in development at our studio. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.

Maestro is an autopilot planning intelligence for SMB operators managing physical inventory complexity without a planning team. It connects across channels and ERPs, handles routine decisions silently, and surfaces exceptions with context and a recommended action before they become revenue losses. The institutional memory that today lives only in a planner's head gets externalized, structured, and queried in plain language.

We didn't just build a thesis; we validated it directly with the market. We have spoken with founders, VP E-Commerce leaders, merchandise planners, and multi-channel operators at DTC and specialty retail brands across the US. The market signal is clear:

  • Autopilot is the vision: Every named competitor generates recommendations that humans still have to act on manually. No product at this revenue tier is building toward full autonomous execution of the planning lifecycle. Maestro's product vision is full autopilot: the system owns the buy decision, allocation, and markdown trigger end-to-end. But buyers earn that trust incrementally, starting with routine decisions handled silently and exceptions surfaced with context.
  • The pain is in the dollars, not the dashboards: Documented annual losses across just five buyer accounts total $1.25–1.5M+. Buyers currently spend $0–500/month on software; the entire planning budget is tied up in headcount. The payback case is immediate, and ROI demonstration, not feature demos, will be the critical sales motion.
  • Institutional memory failure is systemic and unresolved: One SVP with 30 years of domain expertise described relying entirely on personal recall to flag which materials, colours, and styles underperformed last season. When he leaves, that knowledge disappears, and no tool captures it today. Every buyer interviewed described a version of this problem.
Market Context

We are targeting a large, structurally underserved segment: SMB operators managing multi-channel physical inventory complexity at $5M–50M revenue — importers, distributors, Amazon aggregators, and specialty retailers. The beachhead SAM is estimated at $200M–$225M across approximately 15K–16K brands in the US and Canada. Excel is the universal incumbent! 5/5 buyers in our discovery sprint were on spreadsheets, with zero dedicated planning tools in use. EBITDA across the $10–50M DTC cohort is compressed to 7.25% in 2025 with revenue declining ~4.6% YoY. Planning waste attacks the margin stack directly.

About FutureSight

FutureSight is a leading venture studio that co-creates world-class software companies with values-driven entrepreneurs from inception to exit. We are a team of founders, operators and designers with experience successfully bringing software to market at scale.

You’ll co-create with a proven studio team, including:

  • John Carbrey – 4x founder, bootstrapped to $100M ARR
  • Joshua Auslander – Seasoned CFO and strategic advisor with $200M aggregate exits
  • Alan Smith – Globally recognized early stage validation expert, 24 products launched, an exit, 5M+ books sold
  • Prathna Ramesh – Early-stage investor and capital strategy advisor
The Partnership
  • Founder equity with meaningful ownership from inception
  • Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding
  • Studio resources, including embedded design, engineering, growth, and fundraising support from day one
  • Investor and advisor network across retail tech and early-stage capital markets
  • A true co-creation model in which you operate as CEO with the studio as your partner
What You’ll Own

As Co-Founder & CEO, you will set the direction of the venture and lead its execution.

  • Strategy — Refine the ICP, pricing model, and product positioning
  • Customer Development — Lead pilots with VPs, operations managers, and merchandise planners at importers, distributors, and multi-channel retail brands, convert them to paid engagements, and build the go-to-market motion
  • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback
  • Capital — Lead the seed raise, supported by FutureSight's network and traction
  • Team — Recruit and lead the founding team, and establish the cultural foundation of the company
Co-Founder Profile
  • Previous founding experience at a venture-backed company
  • Demonstrated success in B2B SaaS go-to-market, including sales and customer engagement
  • Fundraising fluency, with the ability to develop investor narratives and close capital
  • Proven ability to attract, develop, and retain top talent
  • Clear-eyed understanding of the risks and demands of co-founding a venture-backed company
  • Deep, operational exposure to merchandise planning, inventory management, and multi-channel retail operations

FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

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