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Product Owner

2 hours, 6 minutes ago
United States
Full-time
Mid Level
Product Owner
Product Management
Agile Computer Vision IoT LLM MLOps
Apply Now
Tactacam

Tactacam

Tactacam is a company that specializes in providing hunters and outdoor sports enthusiasts with filming-related products and hunting cameras. Their cellular cameras offer limitless opportunities to capture the outdoors, designed by hunters for hunters....

Household Durables
51-250
Founded 2013
View All Jobs 3

Description

  • Own the product roadmap for AI platform capabilities, including computer vision and broader AI features such as language-based systems, multimodal experiences, and intelligent automation.
  • Lead day-to-day collaboration with third-party AI partners, including scoping, requirements gathering, model evaluation, tuning, and acceptance.
  • Define scalable integration patterns for AI capabilities across internal systems and customer-facing products, including APIs, data pipelines, and inference workflows.
  • Partner with engineering teams across software, hardware, and firmware to design and deliver services and SDKs that enable AI-powered functionality.
  • Collaborate with business stakeholders to identify high-impact AI opportunities while balancing performance, cost, and user experience.
  • Write user stories, acceptance criteria, and technical specifications, and manage backlog prioritization and agile ceremonies for the AI platform workstream.
  • Define and track product and model performance metrics, including quality, accuracy, latency, cost efficiency, user adoption, and operational impact.
  • Lead model evaluation efforts using curated datasets, test cases, and real-world edge conditions.
  • Partner with data and engineering teams to ensure responsible data collection, governance, privacy, and compliance.
  • Collaborate with UX, Marketing, Customer Support, and Operations teams to shape delivery, feedback loops, and continuous improvement for AI-driven features.

Requirements

  • Bachelor’s degree in computer science, engineering, data science, or a related field preferred but not required.
  • 3–5 years of Product Owner or similar product role experience with ownership of roadmap, backlog, and delivery for technical products.
  • At least 1 year of hands-on experience with AI/ML-powered products, including computer vision and/or large language model use cases.
  • Demonstrated experience shipping AI-driven features from concept to production and measuring outcomes after launch.
  • Practical experience with large language models in a product setting, such as prompt design, RAG, tool/function calling, or model output evaluation.
  • Experience working with or evaluating third-party AI vendors or foundation model providers, including capability, performance, and cost comparisons.
  • Solid understanding of AI/ML concepts, including training, fine-tuning, prompting, and metrics such as precision/recall, accuracy, latency, and cost-per-inference.
  • Experience defining API contracts and integrating external services into applications with reliability, fallback, and edge case handling.
  • Familiarity with model evaluation workflows using labeled datasets, test cases, and structured evaluation approaches for vision and language models.
  • Strong written communication skills for product specs, user stories, and stakeholder updates across technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a focus on measurable outcomes and data-driven decision-making.
  • Ability to operate cross-functionally and influence engineering, data, design, and business stakeholders.
  • Hands-on experience with computer vision applications such as object detection, image classification, or video analysis preferred.
  • Experience building or integrating multimodal AI features that combine vision and language preferred.
  • Experience applying AI to customer experiences or internal operations such as automation, support workflows, or decision support systems preferred.
  • Familiarity with MLOps tools, dataset curation, and data labeling workflows preferred.
  • Experience with edge or on-device inference, mobile AI integration, or IoT/device-based systems preferred.
  • Experience tuning model outputs, thresholds, prompts, or business logic to balance accuracy, user experience, and operational impact preferred.
  • Background in consumer technology, connected devices, or related product categories preferred.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k) plan.
  • Paid time off (PTO).
  • Disability insurance.
  • Life insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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