About the role
As Pigment continues to grow internationally, we are opening a Tech Hub in North America.
We are looking for an Engineering Manager based in our Toronto office who will play a key role in developing our AMER engineering hub, working across distributed teams in Europe (France and UK).
This role is both people-focused and hands-on, with up to 50% of time spent on software engineering, depending on team needs and maturity.
Our vision for the AMER Tech Hub
With a growing customer base in AMER, building our engineering presence is a strategic priority. Our vision is ONE team. Engineers across France, UK, Canada (and more locations in the future) belong to interconnected hubs that share the same project opportunities, individual growth paths, and leadership. In addition, we create a local management structure to conciliate market knowledge, closeness to individual people needs, and cultural championship across regions.
Aplyr's read
Pigment is a dynamic platform for collaborative business planning, attracting professionals who thrive on data-driven decision-making and real-time analytics.
What's promising
- •Pigment offers real-time insights, enhancing decision-making capabilities for businesses.
- •The platform supports collaborative planning, fostering teamwork and innovation.
- •Pigment's focus on analytics helps businesses stay competitive in data-driven environments.
What to watch
- •The company operates in a competitive business intelligence market.
- •Rapid growth may lead to challenges in maintaining company culture.
- •Limited public information about long-term financial stability.
Why Pigment
- •Pigment emphasizes collaboration in business planning, setting it apart from traditional BI tools.
- •The platform's real-time analytics are tailored for dynamic decision-making.
- •Pigment's diverse hiring across regions indicates a commitment to global expansion.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Pigment
Pigment is a collaborative planning platform that helps businesses make data-driven decisions by providing real-time insights and analytics.
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