Tech Lead Inventory Insights

Team & Mission

Verity's AI-powered inventory tracking system delivers real-time, data-driven insights through our intuitive Dashboard, empowering clients to achieve a zero-error warehouse, reduce labor costs, and build more sustainable supply chains.

The team you'll be leading focuses on turning drone-collected scan data into high-quality, actionable inventory insights (e.g. stock counts, discrepancy detection, trend analysis, recommendations) through a combination of computer vision, machine learning, AI, edge and cloud computing, and intuitive, data-rich frontend experiences.

As Tech Lead, you'll guide and mentor a multidisciplinary group of talented engineers as they tackle complex challenges with innovative, effective solutions.

What You'll Do

• Partner with a Product Manager to lead a cross-functional team in delivering end-to-end solutions for inventory insight generation, from edge data collection to client-facing analytics.
• Manage, coach, and empower a high-performing team to enable consistent, sustainable, and high-quality delivery.
• Spend time with clients, on-site and on calls, to understand their operations and pain points. Translate ambiguous operational needs into problems that are technically tractable and worth solving, and deliver solutions with measurable client impact.
• Actively contribute hands-on to technical work, particularly in designing and developing solutions that turn raw inventory data into actionable intelligence.
• Own the architecture and technical roadmap for your components, ensuring smooth integration with platform, infrastructure, and other engineering teams across Verity's hardware and software services.
• Champion a culture of ownership, continuous learning, and technical excellence, while leading by example in embodying and evolving our company culture.

Your Experience

• 5+ years leading an empowered product team, working closely with product management and design on both discovery and end-to-end delivery of SaaS products, ideally with an AI or computer vision component.
• Strong product mindset, with the ability to get close to client needs, scope problems for feasibility and impact, and ensure that what you ship measurably improves operations rather than just benchmark numbers.
• Strong hands-on experience in the disciplines and technologies relevant to the role, with practical proficiency in or more of the following: Python, C++, and AWS
• Experience in people management, with a passion for mentoring, growing talent, and fostering a collaborative team environment.
• Deep understanding of agile practices and modern product development, with hands-on experience adopting modern technologies, such as AI tools, to improve the development lifecycle.
• Strong product mindset, with the ability to get close to client needs, scope problems for feasibility and impact, and ensure that what you ship measurably improves operations rather than just benchmark numbers.
• Excellent communication skills and fluency in English, both written and spoken, able to bridge the gap between technical and non-technical stakeholders.

Why Verity?

• A great engineering culture, including flat hierarchies, an open-door policy, and a focus on joint responsibility and mutual trust and support
• Working with a skilled, high-achieving, experienced, and fun team—with lots of opportunities to develop your professional career and grow with the company
• Flexibility of a hybrid work environment. You can arrange start and finish times around your life (picking up kids, walking the dog, training for your next marathon at lunch)
• 25+ days of annual leave, employee stock ownership plan (conditions apply), variety of pension plans, and relocation packages
• A buddy will support you during your onboarding and first month at Verity.
• Top selection of modern AI tools, laptop and learning budget

Learn more about who we are, what we do, and how we think at www.verity.net

We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration for employment without regard to race, nationality, religion, sexual orientation, gender, age, physical [dis]ability, gender identity or length of time spent unemployed.