Director of Technical Solutions

Triple Whale·Remote(Remote - US)
Software Development

WFA Digital Insight

As demand for digital skills in ecommerce surges, with over 60,000 brands seeking data-driven insights, the role of a Director of Technical Solutions becomes pivotal. With the remote job market expanding rapidly, skills in technical leadership, AI, and data analysis are in high demand. Triple Whale, a pioneer in AI operating systems for ecommerce, stands out for its innovative approach to helping businesses turn complex data into actionable insights. Before applying, candidates should be aware of the high expectations for technical expertise and leadership capabilities in this senior role, as well as the unique opportunity to lead a team that combines technical depth with business acumen.

Job Description

About the Role

The Director of Technical Solutions at Triple Whale is a senior technical leadership role that oversees the professional-services arm of Customer Experience. This position is crucial for leading the team to deliver technical depth and expertise that sets Triple Whale apart from its competitors. Day-to-day, the role entails strategic planning, team management, and ensuring that the technical solutions provided are aligned with the company's mission to help ecommerce businesses grow through data-driven decisions.

Triple Whale's AI operating system is at the forefront of ecommerce innovation, and this role is central to its success. The company's commitment to using AI to surface insights and execute decisions for its clients means that the Director of Technical Solutions will be working with cutting-edge technology. The role involves a significant amount of remote work, which requires excellent communication and management skills to lead a dispersed team effectively.

The Director of Technical Solutions reports to senior leadership and is part of the core team that drives the company's strategy forward. This involvement means that the role requires not only technical expertise but also a deep understanding of the ecommerce industry and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

What You Will Do

  • Lead a team of senior professionals across disciplines including Solutions Architecture, Marketing Science, SQL Engineering, and Context Engineering.
  • Develop and execute the technical strategy for the professional-services arm, ensuring alignment with the company's overall goals and mission.
  • Manage and mentor team members to ensure they have the skills and support needed to deliver high-quality technical solutions.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Oversee the development of technical solutions that meet customer needs, ensuring they are scalable, efficient, and reliable.
  • Conduct regular team meetings and one-on-ones to ensure open communication and address any issues promptly.
  • Work closely with the sales team to understand customer needs and develop solutions that meet those needs.
  • Stay up-to-date with the latest trends and technologies in ecommerce and AI, applying this knowledge to improve the company's offerings.
  • Develop and manage budgets, ensuring efficient use of resources and adherence to financial plans.
  • Foster a culture of innovation and continuous learning within the team.

What We Are Looking For

  • Minimum 8 years of experience in a technical leadership role, preferably in an ecommerce or related industry.
  • Strong background in AI, data analysis, and software development.
  • Experience in managing remote teams and leading cross-functional projects.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Strong understanding of ecommerce platforms, digital marketing, and the role of AI in business decision-making.
  • Experience with agile development methodologies and version control systems.
  • Bachelor's degree in Computer Science, Information Technology, or a related field; a Master's degree is preferred.
  • Proven track record of successful project deliveries and team leadership.

Nice to Have

  • Experience with cloud-based technologies and infrastructure.
  • Knowledge of marketing automation platforms and customer relationship management (CRM) systems.
  • Certification in AI, machine learning, or data science.
  • Experience in a startup environment, with the ability to adapt to rapid changes and growth.
  • Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.

Benefits and Perks

  • Competitive salary package.
  • Equity options.
  • Comprehensive health insurance.
  • Flexible PTO policy.
  • Remote work stipend to support home office setup.
  • Professional development opportunities, including workshops, conferences, and online courses.
  • Access to the latest technologies and tools in the industry.
  • Collaborative and dynamic work environment with a team of innovative professionals.
  • Opportunity to work on cutting-edge AI projects that impact the ecommerce industry.

How to Stand Out

  • Tailor your resume: Highlight technical leadership experience, especially in ecommerce or AI-related fields, and ensure your resume is tailored to the specific requirements of the role.
  • Prepare for technical interviews: Review common data structures, algorithms, and software design patterns, as well as questions related to AI, machine learning, and ecommerce platforms.
  • Showcase your team management skills: Provide examples of successfully leading remote teams, including strategies for communication, motivation, and conflict resolution.
  • Research the company deeply: Understand Triple Whale's mission, products, and values, and be prepared to discuss how your skills and experience align with these.
  • Practice explaining complex concepts simply: As you will need to communicate technical ideas to non-technical stakeholders, practice simplifying complex technical concepts without losing their essence.
  • Be ready to discuss your experience with AI and data analysis: Provide specific examples of how you have used AI and data analysis in previous roles to drive business decisions and growth.
  • Ask informed questions: Prepare a list of questions about the role, the team, and the company's future plans to demonstrate your interest and engagement with the position.

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