Founding Growth Manager - Montreal

The Founding Growth Manager at Maneva is responsible for leading the early customer acquisition efforts and building relationships with local manufacturing clients. This role involves engaging with plant managers, conducting assessments to identify areas for AI-driven operational improvements, and collaborating on ROI analysis to showcase the benefits of our solutions.

Candidates for the Founding Growth Manager role at Maneva should have at least 5 years of SaaS sales experience, preferably within the manufacturing sector. Demonstrated success in business development, analytical skills for conducting ROI calculations, and industry knowledge regarding food manufacturing processes are also essential.

Maneva's AI technology enhances manufacturing operations by providing visual cognitive solutions that improve quality control, reduce waste, optimize production flow, and increase workplace safety. Our solutions are tailored to meet the specific challenges faced by manufacturing clients, ensuring measurable improvements.

The Founding Growth Manager plays a crucial role in training clients on how to implement and adopt Maneva's AI solutions effectively. This involves guiding them through the onboarding process and providing ongoing support to ensure that the AI-driven technology integrates smoothly into their operations.

As a Founding Growth Manager at Maneva, you'll have ample opportunities for professional growth as you help shape the direction of our sales strategies and partnerships. With the potential to build a significant client base, the role offers a pathway to leadership within a rapidly growing company that values innovation and performance.

Yes, the Founding Growth Manager position at Maneva requires travel to client sites as needed to conduct assessments and establish relationships with manufacturing clients. This travel is essential to understanding clients' operational challenges and demonstrating our commitment to providing tailored solutions.

At Maneva, you can expect a flexible, remote work environment that encourages collaboration and innovation. You'll be part of a passionate team dedicated to pushing the boundaries of AI technology in manufacturing while having the autonomy to manage your client engagements effectively.

To build relationships with potential clients, I would prioritize understanding their operational needs and challenges. This involves conducting thorough research, reaching out with personalized proposals, and following up consistently to establish trust and rapport.

In my previous role, I identified a manufacturing client struggling with production inefficiencies. After conducting a detailed assessment and presenting a tailored AI solution, I demonstrated the potential ROI, which ultimately led to a successful close and a long-term partnership.

I would leverage targeted marketing campaigns, attend industry events, and engage in networking to showcase our innovative AI solutions. Additionally, establishing referral programs with current clients would help amplify our reach within the manufacturing sector.

I assess the impact of AI solutions through both qualitative and quantitative metrics. This involves working with clients to track operational improvements pre- and post-implementation, analyzing data for specific KPIs such as efficiency, waste reduction, and ROI.

Continuous improvement is vital in this role as it enables me to stay proactive in enhancing our solutions and client services. By applying methodologies like Lean Six Sigma, I can help clients sustain their operational efficiencies and demonstrate ongoing value.

In such a situation, I would engage the client with a consultative approach, addressing their concerns by providing relatable case studies, emphasizing the clear financial benefits, and offering hands-on demonstrations to illustrate the tangible improvements our solutions can bring.

One major challenge is the resistance to change within organizations. Many manufacturing companies have established processes, and demonstrating how AI can integrate and enhance these without causing disruption is crucial to overcoming this barrier.

I utilize detailed cost-benefit analyses, taking into account savings from improvements in efficiency, reductions in waste, and increased production quality. Real examples and projected metrics are invaluable in painting a clear picture for decision-makers.

I regularly participate in industry seminars, subscribe to relevant journals and online platforms, and engage in network discussions with peers in the AI and manufacturing sectors. This keeps me informed about evolving trends and best practices.

The opportunity to drive measurable change and innovation in the manufacturing sector excites me. Being at the forefront of AI technology and collaborating with businesses to enhance their operations is deeply motivating and fulfilling.