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Senior Product Engineer

AI Summary
Fever is seeking a Senior Product Engineer to join its Data Team and deliver high-impact, end-to-end product capabilities. The role spans TypeScript-based web applications, Python services, data stores, distributed systems, cloud infrastructure, and product analytics. The engineer will work closely with Product and Design to define problems, build solutions, measure outcomes, and iterate using real user data. Success requires strong technical judgment, comfort with ambiguity, and leadership across cross-functional initiatives.
Remote from
Spain
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
13 Dec 2026
Listing views
38
Application actions
1
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Opportunity details

About this role.

Hey there!
We’re Fever, the world’s leading tech platform for culture and live entertainment.

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.

Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!

Ready to be part of the experience?

Now, let’s discuss this role and what you will do to help achieve Fever’s mission.

We are looking for a Senior Product Engineer to join our Data Team. This is a role for an engineer who cares deeply about product impact, user experience, and how systems connect to real business outcomes. You will work across the full stack, from the interfaces users interact with to the services and data layers that power them, and bridge the gap between our AI and data capabilities and the products people actually use. You won’t just take tickets and ship code. You’ll own features end-to-end: shaping the problem with Product and Design, building it, defining success metrics, and iterating based on real data. If you thrive in ambiguous, high-leverage environments, love shipping with judgment, and want your engineering work to be visibly tied to outcomes that matter, you’ll fit right in.

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate across the full stack: a modern TypeScript web platform where several frontends and frameworks coexist, and where moving between them matters more than allegiance to one, that also ships inside our native apps through webviews and a native/web bridge; Python-based services and APIs; relational, NoSQL, and search datastores, data warehouses, and SQL; event-driven and distributed systems; cloud infrastructure, containers, and CI/CD pipelines; and observability tooling. Depending on the project, you may also work with LLM APIs and agent-based workflows, retrieval patterns, data orchestration, and product analytics and A/B experimentation.

Nice to have

  • Strong TypeScript and depth in at least one modern web framework. Our web platform is a large monorepo combining several frontends, where Angular and Astro/Svelte coexist. Comfort moving across frameworks matters more than allegiance to one.
  • Strong componentization skills: designing reusable components and shared modules whose logic lives in framework-agnostic packages, including web features that ship inside our native apps through webviews and JavaScript/native bridges. Our apps are Kotlin/Jetpack Compose and Swift/SwiftUI; you won’t own them, but you’ll integrate deeply with them.
  • Sound judgment on when to render server-side vs client-side (or hybrid), driven by functional and non-functional requirements such as SEO, performance, personalization, and caching, rather than framework defaults.
  • Experience working on internal platforms, operational tools, or product-heavy backend systems.
  • Experience with Python frameworks such as Django or FastAPI.
  • Experience with PostgreSQL, Snowflake, DynamoDB, Redis, OpenSearch, and SQL-heavy applications.
  • Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
  • Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
  • Familiarity with observability and monitoring tooling (Datadog or similar).
  • Exposure to AI-enabled product development: LLM integrations, agent frameworks (LangGraph/LangChain), LLM observability (Langfuse), RAG patterns, or workflow automation.
  • Familiarity with Google Analytics 4 and Google Tag Manager. Product tracking at Fever runs through Dataverse, our in-house unified behavioural event layer built on server-side GTM, so knowing how GA and GTM work is enough to find your way around. We also use Mixpanel.
  • Familiarity with product experimentation: A/B testing, feature flags, and edge-side experimentation. We bucket anonymous users and run rollouts at the CDN edge (CloudFront Functions), with Statsig and Optimizely as the experimentation platforms.
  • Experience working on 0 to 1 initiatives or undefined problem spaces.
  • Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

  • You turn ambiguous opportunities into working systems or products that create clear value.
  • You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
  • You improve not only what gets built, but also how decisions are made.
  • You become a trusted technical leader for important cross-functional initiatives.
  • You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
  • You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

  • You are energized by ambitious, messy, high-leverage problems.
  • You like operating where priorities evolve and the path is not fully defined.
  • You care more about impact than about staying inside a narrowly defined engineering lane.
  • You enjoy combining engineering depth, product thinking, and business context.
  • You naturally look for the highest-leverage way to move a system, a team, or a product forward.
  • You want to play a meaningful role in shaping how the company builds and scales.

Why join Fever

  • You will work on some of the company’s most strategic problems.
  • You will have real ownership and visible impact.
  • You will help shape products, systems, and capabilities that matter across the business.
  • You will work in an environment that values ambition, adaptability, pragmatism, and execution.
  • You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

  • Flexible schedule
  • Bonus
  • Stock options
  • 40% discount on all Fever events and experiences
  • Health insurance from Day 1
  • English or Spanish Lessons
  • Wellhub Membership
  • Cobee (tax free allowance on restaurants and transport)
  • Possibility to receive in advance part of your salary by Payflow

Thank you for considering joining Fever. We cannot wait to learn more about you!

If you want to learn more about us: Fever’s Blog | Tech.Eu |TechCrunch

Fever is committed to creating an inclusive and diverse workspace where everyone’s background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!

If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.

If you want to know more about how Fever processes your personal data, click here Fever – Candidate Privacy Notice

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, broad-scope engineering role requiring full-stack delivery, architecture judgment, and ownership of ambiguous strategic initiatives. The candidate must connect technical decisions to product, operational, and business outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$75,000
US market range (per year)$60k–$95k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The yearly compensation figures are estimated in USD for a senior full-stack product engineering role working remotely from Spain; the yearly cadence is inferred from the full-time professional role convention.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you approach an ambiguous product opportunity with incomplete requirements?

I begin by clarifying the user problem, expected business outcome, constraints, and success metrics with stakeholders. I then propose a small, measurable first version, document key technical trade-offs, and iterate based on production feedback and data.

Describe how you decide between server-side rendering, client-side rendering, and a hybrid approach.

I evaluate SEO requirements, first-load performance, personalization needs, caching opportunities, interactivity, and operational complexity. I select the approach that best supports the product outcome rather than defaulting to a framework convention.

How would you design a feature that connects web interfaces, Python APIs, and several data stores?

I would define clear domain boundaries and API contracts, choose data stores according to access patterns and consistency requirements, and make asynchronous events explicit where they improve resilience. I would also add observability, automated tests, and rollout controls before broad release.

What practices help prevent overengineering in a high-growth product environment?

I align implementation scope with the immediate user and business value, distinguish reversible from irreversible decisions, and deliver the smallest reliable solution first. Metrics, feature flags, and staged rollouts allow the team to learn before investing in generalized abstractions.

How do you use experimentation and analytics to improve a product feature?

I define a primary success metric and guardrail metrics before launch, ensure events are accurately instrumented, and use controlled experiments where appropriate. I combine quantitative results with qualitative feedback to decide whether to iterate, scale, or stop the feature.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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