Senior Product Engineer, Sciences

Kindredventures; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Mecka AI seeks a Senior Product Engineer to build software and data products for scientific work. You’ll own products from the first user conversation through production, spanning frontend, backend and data.

You’ll work with scientists and technical teams to ship useful software that preserves meaningful scientific data. The role combines full-stack development with scientific understanding, focusing on reliable data workflows, QA, and AI-assisted annotation.

Qualifications

• Shipping full-stack products from an ambiguous problem to launch.
• 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.

Responsibilities

• 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.

Job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

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.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency‑focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note‑taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.