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Venture Optical Management Jobs in Wisconsin (NOW HIRING)

WI · On-site

$170 - $230/hr

Backed by our founders' successful exits from two previous venture acquired for a combined $180M in ... Formal management experience, including having hired and scaled a CV/ML or perception team at a ...

Venture Optical Management information

What is Venture Optical Management?

Venture Optical Management refers to the oversight and administration of optical businesses or ventures, such as optometry clinics, eyewear retail stores, or optical labs. Professionals in this field are responsible for managing daily operations, financial performance, staff, inventory, and customer service. They may also be involved in business development, marketing strategies, and ensuring compliance with industry regulations. The goal is to ensure the optical business runs efficiently, remains profitable, and provides high-quality products and services to clients.

What are the key skills and qualifications needed to thrive as a venture optical manager, and why are they important?

To thrive as a Venture Optical Manager, you need expertise in optical retail operations, business management, and a solid understanding of eyewear products, often supported by a background in optometry or retail management. Familiarity with point-of-sale (POS) systems, inventory management software, and optical lab equipment is typically required. Strong leadership, customer service, and problem-solving skills help in effectively managing teams and ensuring client satisfaction. These competencies are crucial for driving store performance, maintaining high service standards, and achieving business growth in a competitive market.

What are some common challenges faced by professionals in venture optical management, and how can they be addressed?

Professionals in Venture Optical Management often encounter challenges such as keeping pace with rapidly evolving optical technologies, managing cross-functional teams, and aligning project goals with both technical feasibility and business objectives. Effective communication and continuous learning are crucial to navigating these complexities. Building strong relationships with R&D, product development, and business stakeholders helps ensure successful project outcomes and fosters innovation in a fast-paced environment.

What is the difference between Venture Optical Management vs Optical Sales Associate?

AspectVenture Optical ManagementOptical Sales Associate
CredentialsTypically requires optical management experience, possibly certification in optical dispensing or managementHigh school diploma or equivalent; optical training often provided on the job
Work EnvironmentSupervisory role in optical retail or healthcare settings, overseeing staff and operationsCustomer service-focused role in optical stores, assisting customers with frame and lens selection
Employer & Industry UsageOptical retail chains, healthcare providers, private practicesOptical retail stores, eyewear boutiques, optical departments in retail chains

Venture Optical Management involves overseeing optical store operations and staff, requiring management experience and certifications. In contrast, Optical Sales Associates focus on customer service and sales, often with minimal formal credentials. Both roles are common in optical retail environments but differ significantly in responsibilities and qualifications.

What are popular job titles related to Venture Optical Management jobs in Wisconsin?

For Venture Optical Management jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Venture Optical Management jobs in Wisconsin look for?

The top searched job categories for Venture Optical Management jobs in Wisconsin are:

Infographic showing various Venture Optical Management job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$170 - $230/hr

Other

Medical, Dental, Vision, PTO

Posted 17 days ago


Key responsibilities

  • Manage and grow the CV/ML team, including leading existing engineers, hiring, and developing their skills.

  • Partner with senior leadership to define and execute the CV/ML technical roadmap, translating product goals into team plans.

  • Contribute directly to the development, optimization, and delivery of computer vision algorithms for real-time drone detection, tracking, and classification.


Job description

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.

About The Role

We are looking for a Computer Vision/Machine Learning Engineering Manager to join the Computer Vision and Machine Learning team behind our autonomous gun turret, with a focus on real-time drone detection, tracking, and classification. This begins as a player-coach role: you will contribute directly to the CV/ML stack while managing and growing the team, with your hands-on share shifting toward management and technical review as the team scales. You will partner with our Chief Engineers and VP of AI to define the CV/ML technical roadmap and own its execution, translating product goals into team plans and delivery commitments as we harden the prototype into a military-grade system.

What You’ll Do
  • Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills.
  • Partner with Chief Engineers and VP of AI to define the CV/ML technical roadmap, and own its execution within your team.
  • Translate product and company goals, such as new weapon system variants, engagement ranges, hardening milestones, into quarterly team plans, priorities, and staffing decisions.
  • Contribute directly to development and optimization of computer vision algorithms for real-time drone detection, tracking, and classification.
  • Own delivery commitments for the CV/ML stack, coordinating integration milestones with electrical engineering and hardware teams.
  • Drive engineering quality through design and code review, and rigorous testing and validation practices across environmental conditions and scenarios.
What You’ll Need
  • Deep expertise and 10+ years of experience working on machine-learning-based computer vision and traditional image and signal processing, ideally in the context of robotics, including a proven track record of deploying CV systems in real-time or safety-critical applications.
  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • Experience managing or tech-leading a team of CV/ML engineers, and a desire to grow into a larger management scope.
  • Evidence of successfully owning a technical roadmap or planning process for a perception, autonomy, or similar product area.
  • Proficiency in Python and C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar; experience with embedded systems and sensor integration (cameras, LIDAR, RADAR) strongly preferred.
  • Comfort driving execution while collaborating on technical direction with senior technical leadership, in a fast-moving, engineering-first environment.
You’ll Stand Out
  • Formal management experience, including having hired and scaled a CV/ML or perception team at a startup or in a 0-to-1 product environment.
  • Ph.D. in computer vision, machine learning, or related fields.
  • Experience with object detection and tracking in challenging real-world conditions such as small targets, cluttered backgrounds, or low-contrast imagery.
  • Background in defense, aerospace, or autonomous systems where performance and reliability requirements are non-negotiable.
  • Experience deploying and optimizing models on edge hardware such as NVIDIA Jetson or similar embedded GPU platforms, or with multi-sensor fusion across modalities such as optical and infrared cameras.
  • Experience leading teams through field testing and hardware integration cycles, not just software-only development.
What We Offer
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-AS1

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