Python and Sales Enablement Unlock the Most Postings on Jobliy

Start with the skill, not the job title

Across the 598 postings we track, the single most useful thing a candidate can know is which of their skills shows up most often — not which job title sounds most appealing. Python leads every skill in our catalogue, required in 138 postings, followed by Sales Enablement at 115, Product Management at 112, Outbound Prospecting at 104, and Machine Learning at 103. Someone who can honestly claim any one of these five skills already matches a five- or six-figure share of the postings we hold.

This matters because categories can be misleading. A candidate scanning category names might assume Engineering, with 143 postings, is the biggest opportunity. It is large, but Sales tops it at 159 postings, and Data & AI is close behind at 116. The category count tells you how many roles exist under that label; it does not tell you which of your skills actually opens those doors.

Where the big categories overlap with big skills

• Sales — 159 postings. The skills most tied to this category, Sales Enablement (115) and Outbound Prospecting (104), are almost as broadly required as the category itself, meaning most Sales postings genuinely ask for one or both.
• Engineering — 143 postings. Python (138) and Distributed Systems (80) sit underneath this category along with AWS (63) and Kubernetes (59), so a backend-leaning engineer's skill set covers a large fraction of these roles.
• Data & AI — 116 postings. This is where Machine Learning (103), Data Analysis (94), SQL (78), and Large Language Models (73) cluster. A candidate with SQL and Machine Learning together is well positioned for most of this category.
• Retail & Store Sales — 73 postings. Retail Sales as a named skill appears in 69 postings, almost a one-to-one match with the category, so this is a case where the category name and the required skill are nearly identical.

The mid-sized categories worth a second look

Product (59), Marketing (57), Backend (56), and Growth Marketing (50) are smaller than the top three but still substantial. Product Management, required in 112 postings, spans far beyond the Product category alone — it is likely counted across Product, Growth Marketing, and parts of Data & AI, which is why its skill count outpaces any single category near its size. Similarly, Process Improvement (80) and Project Management (70) are the kind of skills that quietly support Operations (45), Finance & Accounting (39), and Customer Success (32) at once.

Where the matches thin out

At the other end, categories like People & HR (6), Mobile (6), Hardware Systems & Test (6), and Electrical & PCB Design (6) offer far fewer postings to apply against. Candidates whose strongest skills are French (Professional) (16), Signal Integrity (16), or GPU Programming (17) are working with a narrower slice of the catalogue — useful for a specific, well-matched application, but not a broad strategy.

A practical way to use this

• List the skills you can defend in an interview, then check their counts here rather than guessing.
• If your top skill count is high (Python, Sales Enablement, Product Management), you have room to be selective about which employer or category you target.
• If your top skill count is low, widen your search across categories rather than waiting for the perfect title, since 587 of the 598 postings don't even list a salary range to filter by anyway — only 11 do.
• Remember these 598 postings come from just 20 employers, with Neo Financial (94) and Cohere (93) alone accounting for a large share, so a skill match at one company can be worth checking against the others too.

The categories tell you where the jobs are labelled; the skill counts tell you where your actual chances are. Matching the second against your own resume, rather than the first against your ambitions, is the faster way to a shortlist.