Hire vetted AI strategy & deployment experts
Let’s introduce you to your next AI strategy and deployment expert. Start a search and we’ll source the best-fit candidates from our curated network.
Hire talent
How it works
Hire talentTell us who you need
Freelance, Agency, Full-time. Start a search in 2 minutes. Our matching agent crafts your brief, learns your brand, and fills in the blanks.
Get introduced
Trained on over 50,000 introductions, our matching agent sources from our highly vetted network to introduce the right options within 24 hours.
Hire, collaborate, and grow
Transparent pricing, directly from the talent you hire. Contracts, payment, and compliance streamlined by Storetasker.
Build your AI-native team
Storetasker is your talent partner — strategically connecting you with the right AI-native specialists to solve your toughest growth challenges.
Hiring an AI strategy expert: What to know
When should I hire an AI strategy expert?
When teams buy AI tools independently, staff paste company data into personal accounts, pilots stall before rollout, or leadership disagrees on where AI should help. An outside lead brings one plan and clear priorities.
What skills should I look for in an AI strategy expert?
Look for ecommerce operating experience, hands-on knowledge of current AI tools, and a record of rolling them out across teams. They should rank use cases by value and risk, set governance, and measure results in hours and dollars.
How much does it cost to hire an AI strategy expert?
An AI audit and use-case roadmap typically costs $5,000-$20,000. Fractional AI leads often charge $4,000-$15,000 per month depending on days per week, and hourly advisory usually runs $150-$300.
AI strategy expert: What can they do for you
Hire talent- AI readiness & data audit
- Use-case scoring & roadmap
- Build vs. buy decisions
- Tool selection & setup
- Team training & playbooks
- Pilot design & scale-up
- AI use policy & data rules
- Vendor & AI spend review
- ROI tracking & reporting
Specialist skills and tasks
Use-Case Discovery & Roadmaps
Map workflows across marketing, support, operations and finance, then rank AI use cases by value, effort and risk into a 90-day roadmap.
Tool Selection & Vendor Review
Compare AI tools and Shopify apps on fit, cost, data terms and integration effort, then consolidate overlapping subscriptions.
Data Readiness Assessment
Check whether product, customer and order data is clean, connected and accessible enough for AI tools to produce reliable results.
Team Training & Enablement
Run role-specific training, prompt libraries and playbooks so marketers, support agents and operators use AI consistently in daily work.
AI Governance & Policy
Write a practical AI use policy covering approved tools, data handling, human review and disclosure, sized for a growing consumer brand.
ROI Measurement & Reporting
Set baselines and track hours saved, cost per task and quality metrics, so leadership can expand, fix or stop each initiative.
Real results from the Storetasker network
How Alo Yoga Scales UX Without Hiring In-House
Case Study
Working with Leif over nearly three years has been exceptional. He became a true extension of our team, understanding our brand deeply and consistently delivering high-quality design work across countless projects.
A Shopify Developer for TomboyX
Case StudyTyler is probably the best developer I’ve ever worked with, and I’ve worked with devs across large companies, small companies, and agencies.
A CRO Expert for Scandinavian Biolabs
Case StudyAshna brought exactly the analytical, strategic approach we were missing. Her ability to analyze our data, identify real opportunities, and translate them into actionable recommendations has been invaluable.
A Fractional eComm Manager for Studio McGee
Case StudyWe didn’t have the capacity for a lengthy onboarding process or a lot of day to day direction. Sarah came in, got up to speed quickly, and took ownership of the work.
Storetasker vs everyone else
Common Questions
Still not sure? Book a demo
How is this different from hiring an AI automation expert?
An AI strategy expert decides where AI should be used, in what order and how success is measured, then leads adoption across teams. Automation experts build specific workflows. Many brands start with strategy, then bring in specialists to deliver the roadmap.
What does a typical first 90 days look like?
Usually an audit of current tools, data and workflows in the first month, a prioritized roadmap and first pilot in the second, then team training, wider rollout and baseline metrics in the third. Exact scope depends on your team size and goals.
Do we need a full-time head of AI?
Most growing consumer brands do not, at least at first. A fractional expert working one or two days a week can set direction, run vendor decisions and train teams. A full-time hire makes more sense once AI work spans many teams and projects at once.
Which AI use cases usually pay off first?
Common early wins include support triage and replies, product content and translations, creative variations, reporting and research summaries. Look beyond marketing too: back-office uses, such as reducing outsourced and agency work, can deliver stronger returns.
How do we keep customer data safe when using AI?
Standardize on business plans of AI tools that do not train on your data by default, set clear rules on what can be shared with them, and review each vendor's data terms. A written AI use policy, backed by training, matters more than any single setting.
How do you measure ROI on AI initiatives?
Set a baseline before each rollout, then track hours saved, cost per task, output volume and quality measures such as conversion rate or customer satisfaction. Review results monthly and stop initiatives that do not beat the baseline within an agreed period.
Will they work with our existing team and agencies?
Yes. They typically work alongside your leadership, in-house teams and agencies, joining your Slack channels and regular meetings. Their job is to set priorities, train people and coordinate vendors, so adoption continues after the engagement ends.
