Salesforce Technical Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Salesforce

Management Level

Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

Meaningful work you’ll be part of 

PwC's Salesforce practice is seeking a technical leader who thrives in the code. This is a hands-on role will focus on architecting solutions, writing and reviewing code, and solving complex technical challenges—while mentoring developers and shaping technical strategy for the practice. You'll lead our next-generation AI initiatives, working directly with Agentforce, Data Cloud, and the Lightning Platform to build transformative solutions for enterprise clients. Responsibilities include but are not limited to: 

What You'll Build

• AI agents and automation using Agentforce, Apex, Flows, and Einstein GPT—integrating large language models with Salesforce data

• High-performance architectures processing millions of records using Data Cloud, batch Apex, platform events, and asynchronous patterns

• Complex integrations with REST/SOAP APIs, MuleSoft, external systems, and real-time event-driven architectures

• Lightning Web Components and Aura components for sophisticated user experiences with custom JavaScript frameworks

Technical Environment & Tools

• Apex • Lightning Web Components (LWC) • Aura • Visualforce • SOQL/SOSL • Platform Events • Agentforce • Einstein GPT • Prompt Builder • Data Cloud • REST/SOAP APIs • JavaScript (ES6+) • Git/GitHub • Salesforce CLI • VS Code • DevOps/CI-CD • Postman • JIRA • Confluence

Your Technical Leadership Role

• Lead technical delivery teams of 5-10 developers on complex Salesforce implementations and architect end-to-end solutions—from data model design to integration patterns to AI agent workflows

• Conduct hands-on code reviews, pair programming sessions, technical design workshops and make critical technical decisions on platform limits, scalability, performance optimization, and AI model selection

• Translate client business requirements into technical specifications and development user stories

• Mentor developers on advanced Apex patterns, LWC best practices, and AI implementation strategies

• Establish coding standards, testing frameworks (unit tests with >75% coverage), and deployment best practices

• CI/CD pipelines and DevOps processes using Salesforce CLI, Git, and deployment automation tools (e.g., Copado, Gearset)

• Custom CPQ solutions, OmniStudio interfaces, and Industry Cloud implementations

Experiences and skills you’ll use to solve

• 5+ years hands-on Salesforce development with 3+ years in technical lead roles—you must be able to code in Apex and LWC proficiently

• Deep expertise in object-oriented programming, design patterns (Factory, Strategy, Singleton), and governor limit management

• Proven experience architecting and implementing complex integrations (REST/SOAP, middleware, event-driven systems)

• Strong understanding of data modeling, ETL processes, large data volumes (LDV), and performance optimization strategies

• Experience with Agile/Scrum delivery and full SDLC—user stories, sprint planning, retrospectives, CI/CD automation

• One or more Salesforce Developer certifications: Platform Developer I & II, Application Architect, System Architect, or Technical Architect

• Familiarity with modern development practices: version control (Git), automated testing, code quality tools, pull request workflows

• Experience with: AI/ML model integration • Python or Java • SQL/database design • AWS/Azure cloud platforms • Omnistudio (FlexCards, DataRaptors) • Industries CPQ • Mulesoft APIs • Platform Events and Change Data Capture • Heroku • Marketing Cloud or Pardot • Einstein Analytics/CRM Analytics

• PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer

Why you’ll love PwC  

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc  

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.  

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Coaching and Feedback, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure {+ 23 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).