Growth Hacker
Primary stack
Nice to have's
Job description
About the Position
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
We're looking for a specialist who fits one of two profiles - Growth Experimentation or Outbound + Agentic AI. Read both and apply if you fit either.
Responsibilities
- Analyze funnel performance, surface insights, and act on them without waiting to be asked
- Build AI-powered workflows that replace manual work: copy generation, audience segmentation, enrichment, reporting
- Automate marketing loops using advanced AI tools
- If Growth Experimentation: build and run an experimentation program - own the backlog, design tests with proper statistical rigor, ship results, kill what doesn't work, scale what does
- If Outbound + Agentic AI: generate pipeline from targeted account lists (ABM approach) - from signal to sequence, fast; build AI agents and automations for outbound using Clay, n8n, Apollo, Instantly, and LLM-driven personalization
Requirements
- Startup mindset - the team often operates on a 6-day work week (Monday through Saturday) to match the pace of our market. This is a high-intensity, high-ownership environment with a heavy volume of work. We move fast, iterate constantly, and take full accountability for what we deliver
- Active daily AI user (must-have) - tools like Claude Code, Codex, or similar to actually do the job, not just experiment. Must give specific examples from recent work
- Startup-minded, self-driven, high-velocity - autonomous, ships without being micromanaged
- Proficient in data analytics - comfortable with attribution models, funnel metrics, building dashboards independently, extracting insights from large unstructured datasets
- Advanced English (written and spoken)
- If Growth Experimentation: experimentation methodology is a must-have - you've built or run an experiment registry, understand statistical significance, not just "ran A/B tests"; 3+ years hands-on in growth marketing
- If Outbound + Agentic AI: enterprise ABM depth is a must-have - real experience with large B2B deal sizes; hands-on experience building AI agents/automations for outbound; technical stack fluency: Clay, n8n, Apollo, Instantly, API integrations between tools
Nice to Have
- B2B SaaS experience - understands the funnel, pipeline metrics, how marketing connects to revenue
- People management and prioritization experience
- Basic scripting (Python, SQL) - enough to pull data or automate a task
- Familiarity with the MarTech/analytics space
- 6-day working week readiness and flexibility on hours
We Offer
- Remote-first environment
- Competitive salary and commission structure
- Stock options
- Medical, dental, and vision insurance
- 401K plan
- Unlimited PTO
- 13 paid holidays
- Professional development reimbursement
About the Company
Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.
We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.
© Improvado. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Путьimprovado.ioберёт своё начало от запуска торговой доски (DSP), разработанной с целью упрощения алгоритмической закупки рекламы, которая помогала бы маркетологам и руководителям в области цифровой рекламы.После того, как мы познакомились более, чем со 100 цифровыми медиа-агентствами и организациями, наша команда нашла серьезную, «болевую» для каждого из них проблему: отчетность и мониторинг цифровых рекламных кампаний, которые, к тому же, выполнялись вручную.Мы осознали, что у нас появилась действительно большая возможность развития, и нам пришлось действовать быстро. За последний год мы работали в тесном сотрудничестве с несколькими брендами и медиа-агентствами для разработки инструментальной панели оценки эффективности рекламных кампаний, в то время как наши аналитики Big Data сосредоточились на создании автоматизированных советов по оптимизации.
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