An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Hillarys is seeking new Advisors to join a flexible, self-employed opportunity across the UK. Advisors visit customers at home to advise on and measure for window furnishings, then coordinate installation with Hillarys support.
The role emphasizes great service, strong earning potential, and a pathway to running a local Hillarys business with comprehensive training. It offers training-for-life, local business support, and flexible hours that let you manage your diary around personal commitments.
A flexible opportunity that works around you whether you’re looking for Full or Part-Time.
Imagine working for yourself, close to home, at your pace, around your lifestyle and commitments. Our network of over 1200 local Advisors enjoy these benefits, alongside great earnings.
Hillarys, established over 50 years ago, remains the UK’s leading provider of window furnishings solutions with an annual turnover of £250m. We’re still enjoying strong growth and looking for more Advisors to join our team.
Our Advisors visit customers at home to advise on and measure for a wide range of products solutions. Once manufactured and delivered, they return to install for a beautiful finish every time.
If this is unlike anything you’ve done before that’s ok - most of our self-employed Advisors started from the same position and have gone on to run successful Hillarys businesses for many years with our support - we are the experts after all. If you have a great personality, are approachable, a good communicator and care about great Service, you’re already halfway there.
We make it easy to find out more so why not join us on a virtual Discovery Session and learn everything you need to know about being a Hillarys Advisor. You can ask a current Advisor and one of our Area Managers any relevant questions - all from the comfort of your armchair with zero commitment!
Work for yourself, not by yourself: the benefits of your own local business, within a model that removes the worries: