Behind every great innovation there’s a great team
Post jobs, headhunt candidates, and elevate your employer brand to find your team’s mana.
How we work
Using natural language processing to support our search, we select the best available talent.
Referring through our extensive network, headhunters unearth the passive elite talent.
We find your perfect-match, increasing the employee satisfaction and retention.
Case Study Chief Technology Officer
Mana Search was retained by an award-winning fintech who was looking to replace an underperforming CTO. The business had some extremely ambitious growth plans into multiple territories…
Chief Operating Officer
Mana Search was retained by a fast-growing consumer finance provider, who were looking to appoint their first COO. Due to the rate that the business was growing this was a critical and time-sensitive hire…
Head of Decision Science
Mana Search was retained on a 3-month subscription by a young but rapidly growing distressed asset investment group, who were looking to build out their data & analytics team to support a significant period of growth…
Data Jobs Salary Report
How much are data analysts / data scientists / data engineers being paid? Find out from our industry report based on real data. Bonus: what are the best paid skills and most sought for programming languages?
Podcast and blog posts
When I first started as a Headhunter 15 years ago, the term “data science” barely existed. Today, it is not uncommon for even small businesses with between 50-250 people to have a Chief Data Officer, especially in the case of data-driven platforms and FinTech startups. This has created extremely high demand for data science skill sets – demand that employers are struggling to fill.
Over the coming decade, as the application of data becomes ever-more vital, we believe there will be increased demand for data-related skills.
As a counterpoint, just like many professions, automation in data analytics will create efficiencies that do not currently exist.
What impact will this have on the talent market? The adoption of cloud technology, and demand for automation engineering and machine learning, are crucial elements that companies must address through their tech stacks and talent acquisition efforts.
Founder and CEO