Mimica shows enterprises where to streamline, standardize, and automate processes across the entire organization — with zero manual effort, and in as little as two weeks. We answer the most important questions in a business: How are our people spending their time? How do we make these processes more efficient? Where’s the best place to start improving or automating? Here’s how we do it:
Mimica’s 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.
Mimica transforms how work gets done across the enterprise, so you can maximize workforce productivity, cut costs, and drive operational excellence. Get started at Mimica.ai
Mimica shows enterprises where to streamline, standardize, and automate processes across the entire organization — with zero manual effort, and in as little as two weeks. We answer the most important questions in a business: How are our people spending their time? How do we make these processes more efficient? Where’s the best place to start improving or automating? Here’s how we do it:
Mimica’s 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.
Mimica transforms how work gets done across the enterprise, so you can maximize workforce productivity, cut costs, and drive operational excellence. Get started at Mimica.ai
What they do: AI-powered task mining and process intelligence that captures desktop clicks and keystrokes to generate process maps and prioritize automation
Founded: 2017–2018 (founding timeframe cited across sources)
Founders / leadership: Tuhin Chakraborty (CEO) and Raphael Holca-Lamarre (CTO)
Notable funding: Series A $6.0M (Nov 2021, led by Khosla Ventures); Series B ~$26.2M (announced Sep 24, 2025, led by Paladin Capital Group)
Headcount (approx.): 250 employees
Company Overview
Problem Domain
Process discovery, task mining, and process intelligence for enterprise automation
Founded
2018
Industry
Software Development
Funding Track Record
Series A- 2021-11-14
$6.0M
Series A announced Nov 14, 2021
Series B- 2025-09-24
~$26.2M
Series B announced Sep 24, 2025 with continued backing from earlier investors
Investor Signal
“Khosla Ventures, Paladin Capital Group, Entrepreneurs First, Episode 1, LGVP”
Founders
What we do
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Join the Team
Staff/Lead Backend Engineer (Webapp)
On-SitePL
On-Site • PL
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.
Our approach to engineering
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We prioritize customer needs first
We work in small, project-based 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
In this role, your mission will be to enhance and scale the backend systems powering the Mimica platform (
MERN
stack). This means designing and implementing a scalable architecture, developing and optimizing backend services and APIs, improving the performance and reliability of existing components, and taking operational responsibility for what you build. As a member of our early engineering team, you‘ll have the opportunity to shape our technical direction, processes and culture.
Part of your day-to-day
Contributing to architectural decisions and collaborating across teams to identify and implement product improvements.
Developing and optimizing a real-time backend service that enables multiple users to edit graph data and re-train AI models through their input.
Creating libraries and building APIs in our Node.js backend to interact with the various ML components of the system.
Diagnozing fault-tolerance and availability issues, as well as performance bottlenecks, and resolving them.
Refactoring our components and services and producing documentation for your implementations.
Providing feedback to peers through pair programming and code reviews and helping those around you to level up.
Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.
What You Will Bring
Background in backend engineering, focusing on developing high-performance production software and scalable architectures.
Minimum 8 years of experience as a Software Engineer.
Proficiency in JavaScript/TypeScript, and experience using modern frameworks and technologies (e.g., Docker, K8s) to build high-throughput, low-latency systems.
Practical experience in designing APIs and managing databases (e.g., PostgreSQL, MongoDB), with a keen eye for query optimization and efficient data storage & handling.
Firm grasp of distributed systems concepts and techniques – microservices, load balancing, caching, horizontal/vertical scaling and stateless architectures.
Commitment to upholding high engineering standards, prioritizing code quality, maintainability, reliability, and security.
Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions.
Drive to continually 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
Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring.
Experience working within an international high-impact Startup/Scale-up environment – delivering value quickly and iteratively.
Active interest in AI, automation, or related fields.
We’d love to hear from you, even if you feel you don’t quite have all of the above.Benefits
We provide generous compensation, and our goal is to always pay at the top of the local market. We take a structured approach to determining salaries and take into consideration our salary framework, market data, and candidates’ skills.
We also offer health benefits and ample paid time off, as well as a range of non-tangible benefits like flexible schedules and location, start-to-finish project ownership, and the opportunity to contribute to projects that will change the future of work.
Location
This is a fully remote position. You can be based anywhere in the
UK
,
Americas, or Europe within a UTC-6 to UTC+1 timezone.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 - up to £500 / €600 / $650 per year
🌴 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
On company equipment: Company-issued equipment (e.g. laptops) is provided for work use and must be returned upon departure, unless otherwise agreed.
