SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Taxfix is a fintech company that helps millions of people file taxes confidently through an intuitive app. Operating across Germany, Spain, and the UK with over 400 professionals, the company has facilitated €3.5 billion in tax refunds since 2016.
You will own the marketing-technology infrastructure that powers Taxfix's growth. This is a senior individual-contributor role (no direct reports) where you guide a small engineering team (tech lead plus 3–4 engineers working in two-week sprints) supporting four products across three markets. Your internal customers include Paid Acquisition, CRM, Brand, and Creative teams.
Key responsibilities include:
- Own conversion-signal engineering for paid acquisition: client-side and server-to-server events into Singular, Firebase/GA4, Google Ads, and TikTok, including synthetic events, revenue values, and predicted-LTV signals.
- Run the referral program as a product: reward mechanics, eligibility and fraud rules, voucher infrastructure (Voucherify), in-app voucher wallet, entry points, and tuning experiments.
- Grow push and marketing-consent opt-in through permission primers, iOS/Android OS permission flows, and notification preferences.
- Maintain CRM data quality: Braze attributes and events, Snowflake-to-Braze syncs, event-loss monitoring, and migration from legacy messaging (SendGrid, Firebase) to Braze.
- Translate consent and privacy requirements into product behavior; collaborate with Legal on data-sharing policies.
- Adapt tracking, CRM attributes, and attribution for company launches (e.g., new subscription tiers) without breaking downstream campaigns or reporting.
- Convert stakeholder requests, support escalations, and spike findings into actionable tickets; prioritize sprint work.
- Balance roadmap work against platform maintenance: pipeline migrations, security fixes, end-of-life SDKs.
- Design and analyze A/B tests (Eppo) for marketing, consent opt-ins, and referral changes.
- Report progress, risks, and trade-offs to marketing leadership, including VP and C-level.
A typical week mixes debugging missing ad-network events, scoping referral rewards, settling data-sharing questions with Legal, and explaining trade-offs to leadership. All work happens in English; German is not required.
REQUIREMENTS (Must-Have):
- Several years as a product manager owning martech, growth infrastructure, or data products, with experience setting your own roadmap with senior stakeholders.
- Hands-on mobile and web attribution: experience with an MMP (Singular or comparable), server-to-server events, and ad-network conversion setups (Google Ads, TikTok).
- Event-tracking depth: ability to define event schemas, write tracking specs, and trace missing or duplicated events through Segment, Google Tag Manager, and receiving platforms.
- CRM data platform expertise, ideally Braze: custom attributes, event-triggered segmentation, data ingestion, and sync quality.
- Working knowledge of EU consent and privacy: GDPR, consent mode, iOS App Tracking Transparency, and iOS/Android push permission behavior.
- Experimentation: framing hypotheses, choosing and configuring metrics, judging result significance.
- Precise writing: specs that engineers (and AI coding agents) can execute without meetings; concise updates and decision memos for leadership.
- Technical fluency to work through trade-offs with engineers across mobile apps (React Native), backend services, and data pipelines; ability to triage production incidents.
NICE-TO-HAVE:
- Performance marketing experience with main app and web acquisition channels (Google Ads, TikTok).
- Referral, loyalty, or voucher programs; Voucherify experience.
- Predicted-LTV or value-based bidding signals (e.g., Churney).
- Deep linking and deferred deep linking across ad networks.
- AI-driven CRM orchestration (Aampe) or creative asset tooling (Frontify, AI creative tagging).
- Building AI agents or automation for product and engineering workflows.
- SQL querying (Snowflake); familiarity with dbt and Airflow.
