Lead scientific programmes to produce high-quality data for AI and robotics at Mecka AI in New York.
Posted by employer 6 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
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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
The Special Projects Lead at Mecka AI is responsible for developing and managing scientific programs that generate high-quality data for AI and robotics applications. This role requires a blend of strategic planning and hands-on execution, with a focus on building partnerships, launching initiatives, and optimizing operational performance. Ideal candidates will have a strong background in scientific operations and experience in managing external collaborations, making informed decisions in uncertain environments. Mecka AI emphasizes a collaborative approach, working closely with robotics teams to bridge the gap between real-world data and AI systems.
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From the original posting
We’re hiring a Special Projects Lead to build and run scientific programmes that produce high-quality data for AI and robotics. You’ll work across scientific partnerships, programme development and laboratory operations, taking initiatives from an initial brief through launch and ongoing delivery.
This is a hands-on strategy and operations role. You’ll assess opportunities, set operating priorities and work through the practical challenges of getting new programmes running. You should be comfortable shaping a plan, making decisions with incomplete information and doing the work needed to deliver it.
Develop scientific programmes. Translate commercial and scientific objectives into practical plans, milestones and operating requirements.
Build and manage partnerships. Develop relationships with scientific organisations, coordinate agreements and onboarding, and manage ongoing performance.
Launch new initiatives. Establish workflows, coordinate equipment and resources, train teams and resolve readiness gaps.
Own operating performance. Manage quality, throughput, schedules and cost. Identify bottlenecks and improve how programmes run.
Coordinate people and resources. Manage partner teams, vendors and logistics across locations. Keep commitments clear and resolve issues directly.
Make informed operating decisions. Evaluate opportunities, test assumptions and use delivery evidence to decide what to improve, expand or stop.
Scientific fluency from laboratory experience or sustained work with experimental scientists.
A track record of launching and running programmes or operations, with responsibility for delivery, quality and cost.
Experience managing external partnerships and coordinating people, vendors and operational resources.
Evidence of prioritizing work, evaluating tradeoffs and making sound decisions under uncertainty.
Willingness and ability to execute directly, including resolving practical problems alongside coordinating others.
Scientific or laboratory operations, research partnerships or technical special projects.
Founder or early startup experience involving substantial operating responsibility.
Building and improving operations across multiple sites or international partner teams.
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