PostHog Developers

The saving is typically 50 to 75% against a comparable British hire once salary, employer national insurance, pension, recruitment fees and overheads are totalled. UK-based analytics engineers are absolutely something we place. What tends to decide it is the quality-to-cost ratio, which usually favours Eastern Europe, the Philippines or Latin America. What we care about is the strongest quality-to-cost ratio available, capable engineers at a sustainable price, with geography simply the route. PostHog work straddles product analytics, data and frontend engineering, and people comfortable across all three are a niche within a niche in Britain.

PostHog is an open-source product analytics platform that bundles event tracking, feature flags, session replay, A/B testing and surveys into one tool developers can run themselves. Teams choose it because engineers actually like it, instrumentation lives in code and version control rather than a marketing tool, and self-hosting is an option when data must stay under your control. The bundle is the honest attraction, replacing three or four point tools with one. The equally honest caveat is that a team without a clear event taxonomy will produce the same unusable data anywhere.

Look for someone who treats analytics as an engineering discipline, schema design, naming conventions and data trust, rather than a dashboard hobby. The valuable PostHog developer designs an event taxonomy your whole company can rely on, wires feature flags into safe release habits, and knows when session replay answers a question that charts cannot. They should understand the product questions behind the instrumentation, because events chosen without a question in mind become noise. AI tooling now writes tracking code, which makes the judgement layer more valuable, not less.

Ask them to design the event schema for one of your real user journeys, then challenge the choices. You will learn more from why they named an event a certain way than from any tour of PostHog features. Ask how they would roll out a risky change behind a feature flag, and how they would detect that instrumentation silently broke after a release. A revealing follow-up, what analytics data would you refuse to act on. Watch AI habits too, since generated instrumentation code is plausible-looking and frequently subtly wrong about your data model.

Demand is growing as product teams consolidate analytics, flags and experiments into fewer tools, and PostHog's developer-first, open-source position rides that trend well. Worth building on, for most product companies, yes, with a caveat about weight. If you only need pageview counts, it is more platform than you need. The investment pays when you will actually use the bundle, flags gating releases, experiments settling arguments, replays explaining confusing funnels. As AI features enter products, teams also need behavioural data to judge them, which raises the value of getting instrumentation right.

Yes, they use AI tools, and analytics work shows exactly why that needs supervision by a strong engineer rather than a ban. Assistants will cheerfully generate event tracking that compiles, fires and counts the wrong thing, and nothing crashes to warn you, bad analytics fails silently in the data. So our vetting assesses whether candidates use AI tooling well, meaning they test instrumentation against reality instead of shipping whatever appeared. The wider principle is the one we hire on across every stack, generating code is cheap, judging correctness is the job.

A CTO-led process, not a recruiter-driven one, because tool familiarity is easy to claim and measurement judgement is not. Candidates sit a technical assessment, then live pair programming with a senior engineer on realistic problems, where we probe schema thinking and whether they verify data rather than assume it. A cultural fit screen checks they will work well embedded in a British product team, and our psychometric assessment, built for software engineers, reads how they reason. You interview matched candidates within 7 working days, and embedding takes about two weeks.

You are typically interviewing matched candidates within 7 working days of a requirements call, and developers are often embedded and pushing code within about two weeks. From there it is a rolling monthly contract with 30 days' notice, one monthly fee, and no placement charges. You can scale up or down as the work changes, and you pay nothing to interview.

There is a two-week money-back guarantee, and if you want to continue we replace the developer free of charge. In practice this rarely comes up, because you interview a shortlist of two candidates who have already passed a CTO-led technical assessment and a live pair programming session, so the fit question is largely settled before anyone starts.