Build software and data products for scientific work as a Senior Product Engineer at Mecka AI.
Posted by employer 2 weeks ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- Understand users and set priorities
- Build across the stack
- Develop reliable data workflows
- Make data easier to use
- Own production performance
Must have
- Independently shipping full-stack products
- Strong frontend, backend and data-modeling fundamentals
- Scientific fluency
- Product judgment
- Hands-on responsibility for testing and deployment
Nice to have
- Scientific software used in laboratory work
- Founder or early engineering experience
- Instrument integrations or experimental data systems
- Practical AI features
AI in the day-to-day
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Product Engineer at Mecka AI, the individual will focus on developing software and data products tailored for scientific applications, engaging directly with users to translate their needs into functional solutions. This position requires a strong foundation in full-stack development, data modeling, and an understanding of scientific workflows, making it suitable for experienced engineers with a background in scientific software or experimental research. The role emphasizes ownership of the product lifecycle, from initial concept through to deployment and ongoing performance monitoring.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Backend, Data, Frontend, Software.
- What seniority level is this role?
- Mecka AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Product Engineer, Sciences role at Mecka AI.
From the original posting
The Role
We’re hiring a Senior Product Engineer to build software and data products for scientific work. You’ll own products from the first user conversation through production, working across frontend, backend and data.
You’ll work directly with scientists, operators and technical teams to understand their problems, make product decisions and ship useful software. The role combines full-stack engineering with scientific understanding: the products need to work reliably and preserve the information that makes scientific data meaningful.
What you will be doing:
Understand users and set priorities. Investigate scientific and operational workflows, identify important problems and turn ambiguous needs into useful product scope.
Build across the stack. Design and implement interfaces, backend services, data models and integrations. Carry products from prototype into daily use.
Develop reliable data workflows. Build processing, validation and delivery capabilities that handle complex inputs, changing requirements and operational failures.
Make data easier to use. Develop tools for reviewing scientific information, assessing quality and investigating or correcting errors.
Improve quality and automation. Work with engineering and machine-learning specialists on processing, QA and AI-assisted annotation.
Own production performance. Test, deploy, monitor and debug your software. Improve reliability, usability and operating cost as usage grows.
What you bring:
Independently shipping full-stack products from an ambiguous problem through launch and sustained use.
Strong frontend, backend and data-modeling fundamentals, including data processing and integrations.
Scientific fluency gained through bench work or sustained software development with experimental scientists.
Product judgment: understanding user needs, choosing a useful scope and making technical tradeoffs.
Hands-on responsibility for testing, deployment, monitoring and production debugging.
Even better if you have:
Scientific software used in everyday laboratory or research work.
Founder or early engineering experience with responsibility for users, architecture and delivery.
Instrument integrations, experimental data systems or tools for reviewing complex datasets.
Practical AI features that allow users to inspect, validate and correct outputs.
Standard company text repeated across Mecka AI's postings is omitted here.