Collaborative Robotics is looking for a manufacturing leader to build and scale the in-house production system for our robots.

You will take ownership of manufacturing from the production floor up - establishing the build processes, designing the systems needed to measure quality and performance, and scaling up production. This is not a role where you will inherit a mature operation. You will create the processes, tools, operating rhythms, and technical foundation that will shape how we build our products for years to come.

You will work closely with engineering, test, supply chain, and build teams to improve product manufacturability, resolve production issues, and make thoughtful decisions about building a scalable in-house production line. You will also build and lead the manufacturing engineering, quality and build technician teams needed to support it.

Join us to reimagine the future of human-robot interaction.

This role is located onsite at our Santa Clara, CA headquarters.

Cobot will offer a relocation stipend if you are relocating to join our Santa Clara office and currently live more than 50 miles outside of the office location.

Key Responsibilities:

• Lead the day-to-day manufacturing function as we build and scale our own in-house production line.
• Own the build process end-to-end: process implementation, work instructions, fixtures/tooling, and line performance (cycle time, yield, throughput) for internally built products.
• Conduct DFM/A reviews with engineering teams to ensure designs are manufacturable and cost-effective within an in-house build context.
• Own pilot builds and early production runs, driving process validation and readiness for volume ramp inside our own facility.
• Implement and improve core manufacturing processes, quality systems (inspection, defect tracking, root cause/CAPA), and reporting tools from the ground up.
• Build and manage a growing manufacturing engineering and quality team, starting with a small core group and scaling as volume and product maturity increase.
• Own the internal build vs. buy tradeoff over time: identify which processes, subassemblies, or capabilities should stay in-house long-term vs. eventually move to external partners, backed by real production data.
• Travel occasionally to vendor and supplier facilities to support incoming material quality, sourcing decisions, and supply chain issues affecting the line.

Minimum Qualifications:

• 10+ years of experience in manufacturing engineering or operations, with at least 3-5 years in a leadership role.
• Hands-on experience standing up or scaling an in-house production line, ideally for a low-to-mid volume electromechanical or robotics product.
• Strong technical foundation in manufacturing process development, DFM/A, and quality systems.
• Proven ability to manage builds, resolve production issues, and lead cross-functional collaboration with design, test, and supply chain.
• Demonstrated success building and mentoring technical teams.
• Highly motivated teammate with excellent oral and written communication skills.
• Enjoy working in a fast-paced, collaborative, and dynamic start-up environment as part of a small team.
• Willing to occasionally travel.
• Must have and maintain US work authorization.

Preferred Qualifications:

• Experience with MES, SPC, or similar production tracking systems.
• Background in robotics or complex electromechanical hardware.
• Familiarity with regulatory requirements and certifications (CE, UL, ISO9001, ISO13485).
• Demonstrated ability to drive cost, yield, and quality improvements in a manufacturing environment you built or matured yourself, not just managed.
• Experience evaluating or previously working with contract manufacturers, with informed judgment on when in-house vs. outsourced production makes sense.
• Advanced degree in engineering, operations, or related field.

The base salary range for this position is $235,000 - $265,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in the noted geographic area. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.