Kyra is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse. Our platform manages the full lifecycle — creator discovery, campaign management, content review, payments, analytics, and AI-powered intelligence across TikTok, Instagram, and YouTube.
You will build Kyra's growth engine from scratch. We run two businesses that feed each other: a profitable managed-service agency that has won enterprise brands for years, and a subscription platform. Nobody owns growth across both sides yet, so this is your job. You own the full funnel, run constant experiments, and find the fastest, cheapest ways to win and keep brands. Work AI‑first, one person moves like a small team.
Location: London, United Kingdom (hybrid) or Europe (remote with occasional travel to London).
Reporting to the COO.
Active brands is yours: subscribed brands running at least one live campaign in a rolling 30 days. Real usage and real revenue, not vanity sign‑ups. For the first 90 days the proxy is qualified leads while you build the pipeline. By year one, active brands is what you answer for.
Own paid across Google Ads, LinkedIn, TikTok and Instagram, including budget, bids, CPL and CPA. Own organic across SEO and AI search optimisation. Own email and lifecycle in HubSpot. Own website conversion. You set the mix and build the hypotheses. We do not hand you a channel plan.
The centre of the role. The agency feeds the platform with warm, high‑intent brands. The platform deepens those relationships and frees the agency to win more. Each brand makes the next one cheaper. Build the referral mechanics, the agency‑to‑platform motion and the data flywheel so growth compounds instead of restarting every quarter.
Hypothesis, test, measure, scale the winners, kill the rest, reported weekly. Build the measurement layer from zero: tracking, attribution, dashboards, baselines. None of it exists yet. You do not fool yourself with the numbers.
Generate creative, copy and landing pages at volume. Use AI to find the patterns in our data and where the funnel leaks. Automate lifecycle messaging, personalisation and lead scoring. You are a growth operator fluent with AI, a tool orchestrator. Machine learning engineering sits outside the role.
You sit closest to the funnel and the data, so you see what would actually move growth. Surface it. Find the levers inside the product itself: ways to make sharing and referral native, ways to pull more creators in and keep them active, the bits we should change to grow faster. Growth here is as much a product input as a channels job.
Creative, self‑starting, comfortable with ambiguity. Product‑minded as well as channel‑minded. You build the system, not only run it. You form strong hypotheses and kill the weak ones without sentiment. You do not need rigid processes or hand‑holding. Tools and ways of working change constantly here, and you thrive on that. A blank page excites you.
Month3: Qualified leads pipeline is built and baselined. At least two paid channels are live with clean tracking and attribution. The measurement layer exists where there was nothing: dashboards, funnels, baselines. CAC is baselined across active channels and you can already name the biggest leaks.
Year One: Active brands are growing at the agreed run‑rate. CAC payback is under 12 months on at least one proven, repeatable channel. Net revenue retention is above target, proving the loops work. You have a ranked view of which channels to scale and which to cut.
You get ultimate freedom to build, proprietary creator and trend data nobody else has, a two‑sided business with real activation levers, and the founders behind you. You build the engine and drive it from day one.
If you have a condition or require an adjustment to our interview process, please let us know so we can make adjustments to support you. Please note that when you submit an application or resume, your data will be processed in line with our privacy policy
#J-18808-LjbffrVeröffentlichungsdatum:
24 Jul 2026Standort:
RemoteTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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