The Problem

Sales teams spend hours digging through news, LinkedIn, and databases looking for the right moment to reach out. A company just raised funding. A VP just changed jobs. A competitor just expanded into a new market. These signals exist – but finding them manually doesn't scale.

ZYNT surfaces buying signals automatically. We process thousands of sources – RSS feeds, Google News, LinkedIn, job boards, event calendars – and deliver actionable intelligence to sales teams in real-time.

The technical challenge: Building reliable data infrastructure at scale. Web scraping that doesn't break. Pipelines that handle thousands of sources without drowning. Data quality that catches garbage before it hits production. Multi-source orchestration that actually works.

What You'll Own

You'll own our data infrastructure – the foundation that feeds everything else.

In your first month:

Walk through the codebase and data architecture with the CPTO
Understand our source expansion roadmap and current bottlenecks
Ship your first improvement to data acquisition or pipeline reliability

In your first quarter:

Own source expansion end-to-end (new data sources, integrations, scraping)
Build robust data pipelines with proper error handling and monitoring
Improve data quality systems – catch bad data before it pollutes signals
Scale background job infrastructure for growing volume

Where we're heading: We want ZYNT to monitor everything relevant – events, job changes, company news, market shifts. You'll build the plumbing that makes this possible: scraping at scale, multi-source orchestration, and infrastructure that doesn't wake anyone up at 3 AM.

The Stack

Languages: TypeScript (primary), Python
Data: PostgreSQL, pgvector, data pipelines
Infrastructure: Cloud (AWS/GCP), Trigger.dev
Observability: Structured logging, error tracking

Who You Are

Must have:

3-6 years backend engineering experience
Experience building data pipelines or ETL systems in production
Web scraping experience (you know why it's harder than it looks)
TypeScript and/or Python fluency
PostgreSQL proficiency – you can write efficient queries and design schemas
Fluent Polish and English (C1+)

The attitude:

You build systems that don't need babysitting
You think about edge cases before they become incidents
"It works on my machine" is not acceptable to you
You enjoy making infrastructure invisible (when it works, nobody notices)

Nice to have:

Startup or 0→1 experience
Background job systems (Trigger.dev, Redis, Celery, or similar)
API integrations with third-party services
DevOps basics (CI/CD, containers, monitoring)
Multi-tenant SaaS background
Experience with data quality or validation systems

Why Join Now

You'd be one of our first engineering hires.

Early-stage, real ownership: Small team, big problems, no bureaucracy
Shape everything: Architecture, processes, culture – it's all being built
Customers using the product daily: We're past the "will anyone use this" phase
Visible impact: Your work directly enables everything else

How We Work

Ship daily. We deploy to production constantly
Founder-level ownership. You own outcomes, not tasks
Direct customer access. You'll hear what users need firsthand
Outcomes, not hours. We care what you ship, not when you're online

The Details

Compensation: 18-23k PLN net/month (B2B)
Equity: Discussed during process
Location: Remote, CET ±4 hours overlap required
Office: Optional access to Warsaw space

Interview Process

Intro call – mutual fit check
Technical conversation – your experience with data systems, our challenges
Practical task – real problem, reasonable scope
Founders conversation – culture, vision, your questions

Apply

Send us your LinkedIn or CV, a brief note on a data pipeline or infrastructure system you owned – what worked, what broke, what you learned – and your availability.

Reach out at contact@getzynt.com

Senior Backend/Data Engineer