Frontend Engineer
Há 4 dias
Work changed. Pay didn't.
Coverflex exists to make compensation work for everyone.
Pay is still rigid, fragmented, and hard to feel.
We turn compensation into choice — one platform, one card, one app — for benefits, meal allowance, insurance and more.
Our platform is simple for HR and meaningful for employees.
We provide choice, smarter compensation tools and empowerment.
Role: Full-Stack Engineer
Seniority Level: Mid to Senior
Type: Individual Contributor
Languages: English (main) / Portuguese, Spanish or Italian a plus
Main Tools:
React, React Native, TypeScript, Expo
Segment, Amplitude
ConfigCat, Github Actions, Datadog
Location: Remote (Europe only)
Compensation:
Base Salary: 50K to 80K gross annually
Equity: Yes – VSOPs
Benefits: See below
Contract Type: Permanent
Your role will play a major role in our success because…
You'll be the builder who transforms our product into the most powerful growth engine, creating delightful self-serve experiences that help thousands of companies discover how Coverflex can change the way they think about compensation. Every feature you ship, every experiment you run, and every friction point you eliminate will directly empower more companies to give their people the financial flexibility and transparency they deserve through the Coverflex Product.
What this role is not
- Not the primary owner of CRM/Marketing Ops
- Not brand/content ownership; you'll collaborate with those teams
You'll know you're successful when, after 90 days, you've…
1. Deliver reliable Growth infrastructure
2. Ship high-velocity experiments and features
3. Improve Free → Paid conversion
4. Accelerate time-to-activation via guided flows, self-serve improvements, and AI-assisted onboarding.
5. Establish experimentation foundation by implementing A/B testing infrastructure for pricing, packaging, and onboarding with guard-railed rollouts, proper assignment tracking, and statistical rigor.
6. Build robust tracking and data hygiene
7. Demonstrate technical ownership and mentorship by leading frontend features end-to-end with minimal oversight, providing constructive code reviews, supporting team members, and contributing to frontend engineering standards and best practices across Product Engineering
How we'll measure success:
Success means shipping experiments that improve conversion, activation, and retention week over week. You'll see measurable impact:
Free → Paid uplift across markets, faster time-to-aha, and stronger Day 7 and Day 30 cohorts.
Your infrastructure will be reliable: stable n8n workflows, validated tracking, clean A/B test rollouts with feature flags, and runbooks that prevent alerts.
The Growth Room will run on your pipeline with data-driven decisions.
Marketing won't need to ping you about breakages because reliability is built in.
You'll know you've succeeded when every experiment generates insights, every launch is instrumented, and the product becomes our most powerful growth engine.
Let's be real - here's what makes this role challenging:
You'll need to ship fast while keeping systems stable. Growth moves in weekly experiment cycles, but every feature you ship must be instrumented, flagged, and reliable from day one.
You'll coordinate across Marketing, Product, Data, and DevX without clear ownership boundaries. Your job is to establish those guardrails while unblocking everyone.
The tracking foundation has gaps. You'll fix instrumentation debt in parallel with shipping new experiments, which means disciplined prioritization and no shortcuts on data quality.
Growth infrastructure (n8n workflows, feature flags, telemetry pipelines) needs engineering rigor. You'll bring observability, safe rollouts, and SLOs to systems that haven't had them.
You're building for Portugal, Italy, and Spain simultaneously. Experiments must work across markets without adding complexity or slowing you down.
Strong in frontend engineering, with the ability to contribute confidently across the stack when needed
React/ React Native + TypeScript
Experimentation, feature flags, telemetry-first mindset
Shipping in small PRs with CI/CD on AWS or similar
AI‑assisted development habits and prompt‑level fluency
Growth engineering experience in PLG contexts
Experience in multi‑market B2B SaaS
Building AI workflows with tools like n8n
Shows curiosity and open to experimenting with backend systems when useful
We're looking for engineers who thrive in fast-paced, experiment-driven environments. You'll need to be comfortable with rapid iteration, shipping small increments weekly, and pivoting priorities based on data and OKRs.
This role demands strong collaboration across Product, Marketing, and Data teams, a bias toward action over perfection, and deep ownership of both feature delivery and system reliability.
If you excel at turning hypotheses into measurable outcomes, embrace trunk-based development with feature flags and telemetry, and naturally align your work to quarterly goals while maintaining high quality through speed, you'll succeed here.
You'll probably find this frustrating if…
You work in isolation, ship large monolithic changes, over-engineer without data validation, resist proper instrumentation and experimentation practices, avoid ownership of reliability, or struggle to adapt priorities based on impact and measurable outcomes.
Manager & TeamMeet Your ManagerHiring Manager: Daniel Francisco, Engineering Manager
Location: Portugal
LinkedIn Profile:
Profile Snapshot:
Energy: Steady and pragmatic with a maker mindset. Comfortable going deep when needed, but optimizes for team autonomy and speed‑through‑quality.
Communication: Direct and concise, async‑first. Prioritizes written context so decisions are transparent and durable.
Feedback Style: Frequent, specific, and caring. Feedback is framed around outcomes and concrete next steps.
How to work with me - in the Manager's own words:
Hands‑on Engineering Manager who cares about quality and reliability. Sets clear expectations, unblocks quickly, and holds a high bar while coaching for growth.
You'll work day-to-day with:
Growth Engineers, Product Manager, Product Designer, Engineering Manager
Key Stakeholders:
Pedro Costa, Head of Growth
Joana Botelho, Head of Product
Bruno Oliveira, VP Engineering
We hire for impact and potential, not pedigree.
We welcome applications from people with non-linear careers, career breaks, caregiving gaps, and those changing fields.
No discrimination on the basis of age, disability, gender identity/expression, marital or family status, pregnancy, neurodivergence, race/ethnicity, religion/belief, gender, sexual orientation, or any other protected ground.
Assessment fairness:
We anchor on evidence of outcomes (what you shipped, moved, or influenced).
We actively de-bias by using structured rubrics, multiple assessors, and blind screening most of the time (we won't know your name, gender, or personal info until the interview stage).
No cover letter required.
Apply with your LinkedIn or upload your CV.
You may be asked a few short, relevant questions.
Total candidate time investment: ~3–5 hours end-to-end.
Hiring Stages (What to Expect, Why & How Long)1. CV / LinkedIn Screen — Signal check vs must-haves
• You'll hear from us within 7 business days.
2. Role-Fit Questionnaire (async)
Purpose: capture signals your CV can't (languages, tools, scenario judgement) and calibrate seniority.
Format: multiple choice + short answers.
Accessibility: prefer a call? Tell us - we'll swap for a short chat.
3. Hiring Manager Interview - Engineering Mindset deep-dive
• 45–60 min
4. Technical Deep-Dive - Show how you think
• ≤90 min
We assess clarity, decision quality, stakeholder thinking, and ethics.
5. Pairing Session - Walkthrough + Q&A
• 20–30 min
You'll get actionable feedback either way.
6. Cultural Interview - With People
• 30 to 45min
8. Final Conversation (CEO / C-Level) — Values, strategy, and your growth
• 30–45 min
Optional: References (2–3 people who've seen your recent work) - async.
Speed & CommunicationDecision: within 4 weeks of your application.
Updates: weekly if the process runs longer.
Scheduling: interviews between 10:00–16:00 CET (flexible across Europe).
Feedback: from the Case stage onwards, you'll always receive written or verbal feedback - what went well, and what to strengthen next time.
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