Senior Full-stack Engineer, Taktile
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Decision platform for banks and fintechs
Be an early applicant
Decision platform for banks and fintechs
101-200 employees
Be an early applicant
+ Equity
More information about location
101-200 employees
Company mission
To empower decision makers worldwide to make smarter and safer decisions at scale.
Role
Who you are
- 7+ years of backend engineering experience with ownership of APIs and production systems
- Experience building customer-facing platforms
- Comfort working with large datasets where scale, performance, and correctness matter
- Prior industry experience with Python. Java is a plus
- Experience with AWS services and serverless architectures
- Fluency in English, both written and spoken, is crucial to lead communication in our globally distributed environment
- Excited about the potential of AI-driven automation and actively using AI tools to improve productivity and engineering workflows
- Location: Berlin (hybrid setup). Taktile will not cover relocation services for this role
Desirable
- Experience with large-scale data technologies such as Apache Iceberg, Athena, Spark, or similar
- Experience with React and TypeScript
- Experience building experimentation or evaluation systems
- Exposure to fraud, AML, risk, or financial decisioning domains
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes
What the job involves
- As a Senior Full-Stack Engineer, you will own backend systems and APIs that operate on large volumes of decision data and expose them through customer-facing product surfaces
- Your work directly influences outcomes such as reducing false positives, improving approval rates, and increasing confidence when shipping changes to production
- Build and own backend components written in Python / FastAPI, running on an AWS serverless architecture, powering customer-facing capabilities for evaluating and improving decision flows
- Design, extend, and maintain complex backend subsystems that operate on large volumes of historical decision data and expose them through well-structured APIs
- Review pull requests with depth, contribute to architectural decisions, and help maintain a high bar for code quality, reliability, and delivery velocity, including CI/CD improvements where needed
- Collaborate closely with Product, Solutions, and other engineering teams to translate business problems into scalable technical solutions
- Actively participate in team rituals such as planning sessions, demos, and technical deep dives, shaping both execution and long-term direction
- Grow as an engineer by working on a foundational part of the product, learning from experienced peers, and taking increasing ownership over systems and outcomes
Our take
Taktile’s goal is to enable financial services enterprises to adopt machine learning (ML) technology and deliver ML applications. Whilst ML may seem old news, these businesses have been slow to adopt it due to a shortage of expertise, IT resources and regulatory freedom.
This means that the wealth of data at their fingertips tends to go underutilised. With Taktile, these organisations can easily deploy, maintain, and monitor ML applications on a single platform, finally putting crucial ML tools in the hands of enterprise level businesses.
Taktile has inspired impressive confidence in some high-profile backers, including Y Combinator, and the founders of industry behemoths like Datadog and Github. With platforms like Taktile's playing a facilitating role in the AI revolution of financial services, the road ahead should provide ample opportunity for innovation and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
103% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2025
$54m
SERIES B
Nov 2022
$20m
SERIES A
Total funding: $78.9m
Company benefits
- Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes
- Join us onsite in our inspiring office spaces in Berlin, NY, or London and travel to quarterly team meetings around the world
- Make an impact and meaningfully shape an early-stage company by creating new opportunities
- Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
- Get to know and learn from experienced mentors such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath
- Use the equipment of your choice including meaningful home office set-up
- Benefit from an onboarding and training path supported by best-in-class coaches to become a true expert in your field
Company HQ
Battery Park City, New York, NY
Leadership
Maximilian Eber
(Co-Founder & CPTO)With a PhD in Philosophy from Harvard University, they went on to work in Machine Learning and Causal Inference at QuantCo.
Maik Taro Wehmeyer
(Co-Founder & CEO)Member of the European Commission European AI Alliance, and Founding Member at KI Bundesverband. Was previously a Machine Learning Engineer at QuantCo and Research Associate at Harvard Business School.
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