
51 - 200 employees
Founded 2005
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Technology
Intersog is a technology consulting company that specializes in delivering advanced technology solutions for enterprises and medium-sized businesses. They offer a wide range of services including artificial intelligence strategy, IT staff augmentation, custom software development, mobile app development, and product ideation. Intersog supports AI initiatives through advisory services and platform solutions, helping to modernize technology and launch software products rapidly. The company serves various industries such as automotive, finance, healthcare, and education, providing IoT solutions, digital commerce platforms, and innovative mobile applications. Intersog's expertise extends to integration services and helping businesses manage operations smoothly by connecting multiple systems and data sources.
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51 - 200 employees
Founded 2005
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Technology
Intersog is a technology consulting company that specializes in delivering advanced technology solutions for enterprises and medium-sized businesses. They offer a wide range of services including artificial intelligence strategy, IT staff augmentation, custom software development, mobile app development, and product ideation. Intersog supports AI initiatives through advisory services and platform solutions, helping to modernize technology and launch software products rapidly. The company serves various industries such as automotive, finance, healthcare, and education, providing IoT solutions, digital commerce platforms, and innovative mobile applications. Intersog's expertise extends to integration services and helping businesses manage operations smoothly by connecting multiple systems and data sources.
• Team Unification. Consolidate the Landing Page Builder group into one coherent unit with a shared sprint board, shared priorities, and a single delivery cadence. End the fragmentation between workstreams and establish clear ownership across the team. • Scrum and Engineering Discipline. Implement Agile and Scrum practices that drive real behavioural change. Own story sizing, sprint commitments, burndowns, and retrospectives. Create an environment of predictability and accountability. • People Development. Build structured development plans for engineers. Invest in growing senior engineers into technical leaders. Provide consistent feedback and create the conditions for expanded ownership. • Hybrid Team and Vendor Management. Manage a team spanning engineers and external vendor developers. Hold all contributors to the same standards, manage the near-term vendor transition cleanly, and ensure knowledge transfer is prioritized throughout. • AI Builder Execution. Partner with the CTO to translate architectural direction into shippable sprint work for the AI-native product. The AI Builder is directionally critical to the business; execution discipline is non-negotiable. • Parallel Workstream Management. Balance delivery across the existing Builder and the AI Builder simultaneously. Manage prioritization tension with clear judgment and ensure both workstreams receive the engineering attention they require at each stage. • Cross-Functional Partnership. Serve as a credible engineering voice in planning conversations with Product and senior leadership. Provide clear engineering input into roadmap conversations.
• 7–12 years of engineering experience, with 3+ years managing teams of 8 or more in a SaaS product environment • Proven track record leading engineering teams through a legacy-to-modern product transition: parallel workstreams, deprecation planning, and shipping new product alongside active maintenance • Demonstrated experience shipping AI-powered or agentic features in production — not proofs of concept, but features customers actively use • Experience managing hybrid teams of full-time staff and embedded vendor or contractor developers, with accountability for standards, knowledge transfer, and clean offboarding • Track record of developing senior engineers into technical leaders • Modern engineering discipline: Agile and Scrum done properly, CI/CD maturity, code review culture, observable velocity and delivery predictability • Comfortable working alongside a CTO in a clear division of responsibilities — executing on direction and pushing back credibly when needed
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