Delivery Operations Analyst
•Qodea· 8h
🏷️ Data Science📝 Contract📈 Mid Level📍 Philippines
8h ago
Kyra·about 23 hours ago
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, or makes them compound into each other. That is your job. You own the full funnel, run constant experiments, and find the fastest, cheapest ways to win and keep brands. You work AI-first, so one person moves like a small team.
This is a greenfield role with a real budget and a number you own end to end. If you want a clean slate, a live product, and total ownership, read on.
📍 London, United Kingdom (hybrid) or Europe (Remote with occasional travel to London)
📍 Reporting to the COO
Own the Number. Active brands is yours: subscribed brands running at least one live campaign in a rolling 30 days. Real usage and real revenue, not vanity signups. 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.
Run the Channels. 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.
Build the Loop. This is 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.
Run the Experiment Engine. 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.
Work AI-First. 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.
Feed Insight Back into Product. 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.
Influencer or creator marketing experience, or two-sided marketplace experience. You already understand how a buyer side and a supply side think and buy. This is the number one priority. We are moving too fast to teach the category.
A track record of growing a product, with the numbers to prove it. You have actually moved acquisition, conversion or retention yourself, hands on the levers rather than managing from a distance.
Paid channel ownership. Google, Meta, TikTok, and LinkedIn. Budget management, CPL and CPA, pixel and conversion tracking.
Organic and lifecycle. SEO and AI search optimisation, plus email and CRM in HubSpot or equivalent.
Analytics and experiment design. Event tracking and attribution from scratch in GA4 plus Mixpanel, Amplitude or PostHog. Clean A/B tests, with a real grasp of sample size and significance.
AI-immersed. You already use it every day, prompt well, call LLM APIs like Claude or OpenAI, and chain them into workflows with Zapier, Make or n8n.
Spreadsheet modelling. CAC, payback, funnel maths, cohorts.
Scrappy building. Spin up landing pages and small internal tools with Cursor, Claude Code, Webflow or Framer. You ship without waiting on engineering.
London-based. We want you in and around the team.
SQL, to pull and analyse warehouse data yourself.
APIs and light Python to wire systems together and automate the boring parts.
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.
Month 3: 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.
🌎 Location: London-based, hybrid. 3 days per week in-office, 4 days during your first two weeks so you get the most out of onboarding and if Europe based then remote but occasional travel to London as part of the role.
🌴 Annual Time Off: 25 days PTO + bank holidays, 4 company-wide days off (Kyra Days), 3 wellness days, and paid sick leave each year.
📚 Growth: Annual Learning & Development budget to invest in your skills.
💰 Rewards: Annual bonus scheme to recognise great work.
🩺 Healthcare coverage for US-based team members.
AI is core to how we operate. Use it to elevate your work. But everything in your application should reflect your own judgement and experience.
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