Description and Requirements

Job Description

Slalom is looking for an experienced Engineering Manager with a passion for maximizing the value and effectiveness of our Salesforce Product and AWS teams by bringing modern, innovative solutions to our business. This is an AI-first role focused on enabling, shaping, and unlocking the team's AI landscape, including the tools, practices, and capabilities that help teams work smarter and deliver faster. In this role, you will help us achieve ambitious product development goals by delivering incredible user experiences to our customers while partnering with Slalom's Sales, Staffing, and Engagement Management business leaders. You will also play a hands-on leadership role, spending time building solutions, strengthening DevOps practices, and upskilling the team on modern engineering approaches that improve delivery quality, automation, and operational excellence.

What You'll Do

• Translate business needs from Sales, Staffing, and Engagement Management stakeholders into clear, scalable technical solutions that make effective use of the Salesforce platform, AWS services, and supporting product capabilities.
• Partner with architects, development leads, and product teams to design, document, and deliver solutions that follow Salesforce best practices, modern engineering patterns, and long-term maintainability standards.
• Lead design sessions, technical reviews, and delivery planning to ensure solutions are well understood, appropriately sized, and implemented with strong code quality, security, performance, and reliability.
• Provide hands-on technical guidance across Salesforce development, including Apex design patterns, platform limits, bulk processing, trigger handling, asynchronous operations, and effective unit testing practices.
• Champion automated testing practices, including end-to-end testing with tools such as Playwright, by helping teams design reliable test suites, manage test data, and integrate quality checks into CI/CD pipelines.
• Lead AI enablement across the Salesforce Product and AWS teams by identifying practical use cases, evaluating AI tools, and embedding AI-assisted practices into engineering, delivery, support, and operational workflows.
• Drive an AI-first upskilling transformation by coaching engineers, creating reusable patterns and guardrails, and establishing learning paths that improve confidence, productivity, delivery quality, and responsible AI adoption.
• Strengthen DevOps maturity by improving build, release, deployment, monitoring, and automation practices across Salesforce and AWS delivery workflows.
• Support modern software development lifecycle practices, including iterative delivery, frequent release of working software, continuous improvement, and a strong focus on technical excellence.
• Grow the team's knowledge base by documenting decisions, sharing best practices, mentoring engineers, and promoting reusable approaches across products and platforms.
• Stay current on Salesforce product releases, AWS capabilities, AI tooling, and emerging engineering practices, and help the team understand how those capabilities can improve business outcomes.

What You'll Bring

• Minimum 3years of Salesforce platform experience
• Minimum 3 years of AWS platform experience, including hands-on familiarity with AWS Lambda, API Gateway, CloudWatch, IAM, S3, and serverless or event-driven application patterns
• Experience with infrastructure as code and automated environment management using tools such as AWS CDK, CloudFormation, Terraform, or similar frameworks
• Strong problem-solving skills with the ability to work in a rapidly changing work environment
• Experience with LWC, Apex Classes/Controllers, Apex Triggers development experience
• Front-end development experience with Lightning Design System

• Strong experience with automated testing tools and frameworks (e.g., Playwright) including writing and maintaining end-to-end tests, creating stable locators/page objects, and troubleshooting flaky tests
• TypeScript, JavaScript, HTML design, JQuery, and modern front-end engineering experience; Vue or Angular experience a plus
• Strong knowledge of Object-Oriented Analysis and Design, database design and software development lifecycle
• Engineering Manager-level experience guiding technical direction, coaching engineers, facilitating design decisions, managing delivery tradeoffs, and improving team practices across product, platform, and DevOps workstreams
• Strong communication and stakeholder management skills with the ability to translate business goals into clear technical execution plans

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for this position is $100,000 to $140,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until August 21, or until the position is filled.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: [redacted]. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.