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Sales Support Specialist - Aquaculture Tech (Inverness)

Fish Farmer Magazine

Inverness

On-site

GBP 35,000 - 42,000

Full time

Yesterday
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Job summary

A leading aquaculture technology firm is seeking a Sales Support Assistant based in Inverness or the mainland Scotland fish farm area. The successful candidate will support the PNM Sales Manager in delivering the AKVA Group PNMB product suite. A degree in relevant fields or equivalent experience is required, alongside a full driving license. The role offers a competitive salary with benefits such as a pension scheme, life insurance, and opportunities to work with innovative AI technology for sustainable food production.

Benefits

Salary Sacrifice Pension Scheme
Life Insurance
Career growth and development opportunities
Opportunity to work with cutting‑edge AI technology
Chance to make a meaningful impact on sustainable food production

Qualifications

  • Candidates should be qualified to degree level or possess equivalent aquaculture experience.
  • Have a full driving license.

Responsibilities

  • Support the PNM Sales Manager in all aspects of delivery of the AKVA Group PNMB product suite.

Skills

Ability to learn quickly about aquaculture operations
Strong interpersonal communication skills
Good team worker
Data interpretation and handling skills
Understanding of the marine environment
Experience of or knowledge of modelling marine structures
Understanding of supply chain process
Project management skills

Education

Degree in Naval Architecture, Engineering, Aquaculture Engineering, Marine Science
Job description
A leading aquaculture technology firm is seeking a Sales Support Assistant based in Inverness or the mainland Scotland fish farm area. The successful candidate will support the PNM Sales Manager in delivering the AKVA Group PNMB product suite. A degree in relevant fields or equivalent experience is required, alongside a full driving license. The role offers a competitive salary with benefits such as a pension scheme, life insurance, and opportunities to work with innovative AI technology for sustainable food production.
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