[Hiring] Senior Staff Technical Program Manager @Shopify

Role Description

Shopify's Technical Program Managers (TPMs) lead large-scale technical programs that build exceptional products for our merchants, enable entrepreneurship, and create new value for the world. TPMs drive execution, technical alignment, and measurable business impact across organizational boundaries, keeping teams focused on the highest-value outcomes and moving at the speed of a startup.

As a TPM supporting Ads, you'll partner with Engineering, Product, Data Science, and business stakeholders to build and scale the advertising technology that connects merchants, advertisers, and audiences. You'll help shape and deliver the platform capabilities that power relevant advertising experiences, improve campaign performance, and create sustainable business growth while protecting the customer experience.

This role goes beyond coordinating schedules and tracking milestones. You'll bring technical judgment to complex problems, connect platform architecture and product strategy to business outcomes, and drive execution across interdependent teams. You'll help teams navigate ambiguity, make informed trade-offs, identify risks early, and turn complex technical initiatives into clear, actionable plans that deliver results.

You'll operate across the advertising lifecycle, which may include:

• Ad delivery and serving
• Targeting and personalization
• Campaign management
• Measurement and attribution
• Experimentation
• Data and ML infrastructure
• Monetization
• Platform reliability

We assess team fit and level throughout our interview process to ensure the best match for both candidates and our teams.

Qualifications

• Extensive experience in technical program management, software engineering, technical product management, or a related technical discipline, with a proven track record of delivering complex programs involving multiple engineering teams.
• Demonstrated ability to drive large, cross-organizational initiatives from strategy and problem definition through technical execution, launch, and measurable outcomes.
• Strong technical judgment and the ability to engage meaningfully in architecture and design discussions involving distributed systems, APIs, data platforms, or other complex software systems.
• Experience translating business objectives into technical roadmaps, clear program plans, measurable success criteria, and prioritized execution across interdependent teams.
• Ability to use data and analytical reasoning to evaluate trade-offs, assess program performance, identify risks, and guide decisions.
• Proven ability to influence without authority, build alignment across diverse stakeholders, navigate competing priorities, and drive decisions through ambiguity.
• Strong written and verbal communication skills, including the ability to explain complex technical concepts and communicate program status, risks, and recommendations to technical and executive audiences.
• Experience building effective program management mechanisms, including dependency and risk management, milestone tracking, launch readiness, executive reporting, and continuous improvement.
• A proactive, resourceful approach to problem-solving, with a bias toward action, accountability, and delivering meaningful results rather than process for its own sake.
• Familiarity with AI-powered tools and coding assistants such as Cursor, Claude, ChatGPT, or Perplexity, with the ability to apply them thoughtfully to technical problem-solving and program execution.

Requirements

• Experience in digital advertising, advertising technology, ad platforms, commerce media, marketplace monetization, or performance marketing.
• Familiarity with one or more areas of the advertising lifecycle, such as ad serving, targeting and personalization, campaign management, auction and bidding systems, measurement and attribution, experimentation, or revenue optimization.
• Experience working with Data Science, Machine Learning, or Analytics teams to deliver data-driven products, experimentation platforms, optimization systems, or ML-powered capabilities.
• Experience operating large-scale, revenue-critical platforms where reliability, latency, scalability, data quality, and customer experience are important considerations.
• Experience defining and tracking business and technical metrics, such as incremental revenue, adoption, advertiser performance, conversion, experimentation outcomes, service reliability, or operational efficiency.
• Experience leading platform migrations, system modernization, partner integrations, or multi-team initiatives involving complex technical dependencies.
• Experience using AI-assisted development, data analysis, automation, or rapid prototyping to improve execution speed and decision quality.

Company Description