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Staff/Lead Fullstack Engineer (Mapper)

Mimica
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Homeoffice-Möglichkeit
Flexible Arbeitszeiten

Qualifikationen

React
Datenstrukturen
Systemdesign
Master

Vollständige Stellenbeschreibung

What we are building

Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.

Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.

Visit our Career Page to learn more.

Where we are in our scale-up journey

We’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 50-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models - we train them from the ground up.

Our approach to engineering

We prioritize customer needs first
We work in small, cross-functional, feature-oriented teams
We have flexibility in terms of the problems we work on
We own the full lifecycle of our projects
We avoid silos and encourage taking up tasks in new areas
We balance quality and velocity
We have a shared responsibility for our production code
We each set our own routine to maximize our productivity

Your mission

You will join our Mapper Team, whose goal is to produce and service the Process Maps that are at the core of Mimica's product.

We found good product-market fit, which means two things: building new features and making architectural decisions that will enable exponential growth in usage.

You will take ownership of projects end-to-end, build new features, release improvements to existing components, and take operational responsibility for what you build.

We have a bottom-up culture where Engineers identify pain points, experiment with and iterate on their solutions, and leverage tight feedback loops.

As such, you‘ll have the opportunity to shape the technical direction, processes and culture of the Engineering org, Chapter and Team.

Part of your day-to-day

Developing data-visualisation applications and new features around displaying significant large data properties (e.g., insights regarding processes, workflows and metrics) in effective ways, with scalability & reliability in mind.
Building interfaces and real-time frontend services that enable multiple users to edit graph data and re-train AI models through their input.
Owning projects end-to-end as part of small teams, collaborating with our TLs and Product Managers.
Participating in architectural decisions, collaborating across teams to identify and implement product improvements and producing documentation for your implementations.
Participate in and improve the Team's and Chapter's internal processes and rituals so that we're more effective.
Providing feedback to peers through RFCs, code reviews and helping those around you to level up.
Participating in hiring and onboarding new team members.

Who you are

You have at least 8+ years of experience as a Software Engineer and high engineering standards.
Strong experience and understanding of React, state management, front-end architecture & concepts.
Knowledge of advanced system design principles, data structures, algorithms, and the core concepts underlying data-intensive applications.
Deep understanding of advanced performance optimisation techniques.
Previous experience working in the backend.
Committed to upholding high engineering standards, delivering clean, testable, reusable, modular, and well-documented code.
Experience owning projects from start to finish, including speccing, design, development, testing, deployment, release and observability.
Drive to develop your skills, improve team processes and reduce debt.
Fluency in English, with effective communication skills – articulating complex ideas, concepts and trade-offs clearly.

Bonus

Background working in fast-paced, successful scale-up environments or as a founding engineer, with a track record of delivering value quickly and iteratively alongside building processes.
Graph or Canvas-based Rendering, or graph/geometry editing. (FE-focused).

Location

This is a fully remote position. To ensure effective collaboration with our team, we are only considering candidates in the following regions:

Europe & Africa: Locations within European timezones (typically UTC-1 to UTC+3).
The Americas: Locations in the Eastern Time Zone (e.g., US East Coast, Toronto) or UTC-3 (e.g., Brazil, Argentina)

Recruitment Stages

Stage 1 | Recruiter Screen with Technical Recruiter
Stage 2 | Take-home Challenge (async) + Follow-up (Live) - with colleagues in an equivalent role
Stage 3 | System Design (Live) - with the Chapter Leader + colleagues
Stage 4 | Founders/Behavioural Interview - with Chapter Leader + Co-founder/CTO

What we offer

Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.

Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.

Company-issued laptop, remote setup stipend, and co-working budget

Flexible schedules and location

Ample paid time off, in addition to local public holidays

Enhanced parental leave

Health & retirement benefits

Annual learning & development budget

Annual workaways and regular virtual & in-person socials

Opportunity to contribute to groundbreaking projects that shape the future of work

Note: Some benefits may vary depending on location and role

Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.

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