[Hiring] Lead, Data Development, AI Platform @Hootsuite

Role Description

We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics & AI teams can confidently build on.

This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution. You will also partner closely with AI Context & Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system.

What You’ll Do:

• Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces.
• Develop clear technical recommendations for platform and orchestration architecture evolution.
• Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components.
• Set and uphold standards for data pipelines built for agent and programmatic consumption.
• Drive technical build and implementation of internal tooling and agents that improve AI Engineering workflows.
• Set the team's engineering standards and ways of working, while developing team members through coaching and feedback.
• Collaborate closely with AI Context & Integration and AI Data Architecture to ensure platform changes integrate cleanly.
• Perform other related duties as assigned.

Qualifications

• 8+ years of hands-on software, data, or AI platform engineering experience.
• Experience leading or mentoring a small engineering team.
• Strong hands-on programming capability across backend services, APIs, data pipelines, or platform infrastructure.
• Experience building or operating orchestration across systems.
• Working knowledge of AI and LLM-based systems.
• Experience building data pipelines for programmatic or agent consumption.
• Familiarity with platform reliability practices.
• Ability to influence without direct authority.
• Inclusive Leadership: Builds inclusive, cohesive teams.
• Play to Win: Delivers results through others.
• Long Range Planning: Identifies technical, organizational, and dependency risks.
• Enablement: Challenges and supports others to deliver results.

Requirements

• Solution seeker: Focus on tackling new challenges and solving problems.
• Lifelong learner: Bring a growth mindset and actively learn.
• Resilient adapter: Maintain a thoughtful, calm approach in the face of change.
• Intentional collaborator: Build positive working relationships across the business.
• Critical challenger: Ask thoughtful questions to reach the best outcome.
• Active communicator: Listen actively and communicate clearly.
• Integrated thinker: Understand how your team's work advances broader organizational goals.
• Accountable owner: Take pride in work and bring a mindset of ownership.
• Bar-raiser: Help the team grow and succeed.

Benefits

• Accommodations will be provided as requested by candidates.
• Remote work options available.
• Canada Pay Range For This Role: $98,400 — $137,800 CAD.

Company Description

Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and/or summarizing interview feedback. All final hiring decisions are made by human decision-makers who use their professional judgment to review and evaluate relevant candidate information in addition to AI outputs.