Leads technical delivery for Salesforce Marketing Cloud engagements, owning solution architecture, data models, integrations, standards, code and configuration review, testing, deployments, and client technical discussions. Builds journeys, automations, data extensions, content, AMPscript, and server-side JavaScript while validating segments and platform capabilities. Uses and governs AI tools for development, documentation, review, and testing. Mentors consultants and supports adoption of Marketing Cloud Next and Data 360.
Lead Technical Consultants carry the technical seat on a delivery team. You set the standard others build to, review and disposition the team's generated work, and own the technical conversation with the client on the engagements you lead. Perficient's Salesforce practice delivers in small, AI-first teams. AI drafts most of what used to be written by hand — requirements, stories, configuration, tests and documentation — and a named person reviews, corrects and approves every piece of it, and is accountable for it. We hire people who can direct that work, defend it in front of a client, and keep learning as the tools change.
ResponsibilitiesWhat you'll do
The pillars of being a successful Lead Technical Consultant at Perficient are:
- Own the technical design for a pod's scope: data model, security, integration approach and build order.
- Set the technical standards, naming conventions and branching strategy before build begins, and enforce them.
- Review the team's generated code and configuration and disposition every finding as confirmed, corrected or escalated. You are accountable for what a first-pass review missed.
- Record technical approval on every story before it enters a sprint, overriding drafted technical assessments where they are wrong.
- Verify platform capability claims against current documentation before they reach a client or a design. Models state current, deprecated and invented facts with equal confidence.
- Build hands-on, especially the hardest pieces, and stay close enough to the code to judge it.
- Own deployments for your scope, with a rehearsed runbook and a passed smoke test.
- Mentor consultants on building with AI and on reviewing what it produces.
On Marketing Cloud Engagement
- Build in Marketing Cloud Engagement: journeys, automations, data extensions, content and the contact model.
- Write and maintain AMPscript and server-side JavaScript where the solution needs it.
- Integrate Marketing Cloud Engagement with Salesforce Core and the program's data sources.
- Validate segments and sends before they run — a wrong segment returns a population and nothing errors.
- Support the move toward Marketing Cloud Next and Data 360, and learn them as the work arrives.
- Write tests from the acceptance criteria and verify every journey path in the environment.
How you'll use AI
- Configure the tooling for the team — repository context, standards files and instructions — so generation produces work to the engagement's standard.
- Use AI for first-pass review across the team's output, then disposition every finding yourself.
- Generate journey logic, AMPscript, queries and test data with AI, and verify each against real data before it runs.
- Use AI to document the existing Marketing Cloud configuration before you change it.
- Review generated work critically before it moves. Generated work fails plausibly — complete, well-formed, internally consistent and wrong — and you are the one who catches it.
- Answer one question about anything you approve: what did you change or correct before you approved it? A reviewer who never has an answer is not reviewing. Work fluently in whatever the engagement runs on — Claude, Microsoft Copilot, GitHub Copilot, platform assistants, or the client's own stack. The activity is mandatory; the tool usually is not.
Required
- 6–9 years of relevant experience, including client-facing consulting
- Salesforce technical delivery leading the build on client engagements
- Marketing Cloud Engagement implementation — journeys, automations, data extensions and AMPscript
- Integration between Marketing Cloud Engagement and Salesforce Core
- Integration and data-model design experience
- Marketing Cloud Email Specialist and Marketing Cloud Developer certification
- Demonstrated, current use of AI tools in delivery and in code review
- Strong written and spoken communication, and the ability to explain complex topics to technical and non-technical audiences
Preferred
- Marketing Cloud Consultant certification
- Marketing Cloud Next or Data 360 exposure
- Production deployment accountability on a live client system
Who we're looking for
Technical depth gets you in the door. Beyond that, we hire for four qualities together, not any one in isolation — and we want people who are humble enough to teach as readily as they learn, hungry enough to close a gap without being asked, and smart about people as well as platforms.
- Techno-functional depth — You connect a technical decision to the business outcome it serves and can explain the trade-off to both audiences.
- Client presence — You run the technical conversation with client stakeholders and can say no with a reason they accept.
- AI-native delivery — You set up how a team uses AI, not only how you do, and you can show what you overrode in a generated assessment.
- Learn-fast orientation — You have delivered outside your primary cloud and closed the gap fast.
You are already using AI tools to work faster and deliver better outcomes, and you want to keep pushing on that. This is where the practice is headed, so it is a practical, non-negotiable skill, not a nice-to-have
Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $100,000 - $145,000 Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.
WHO WE ARE
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed.
WHAT WE BELIEVE
At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
Perficient Irvine, California, USA Office
2020 Main St, Irvine, CA, United States, 92614
Similar Jobs
Artificial Intelligence • Cloud • Software • Conversational AI
Serves as Dell’s strategic technical advisor for the Sprinklr platform. Responsibilities include translating business objectives into scalable solutions, advising on integrations and APIs, designing reporting and analytics frameworks, optimizing workflows and platform adoption, improving alerting and monitoring programs, evaluating AI capabilities, and leading architecture reviews. The role requires executive-level consultation, proactive innovation, stakeholder influence, and collaboration with Product and Engineering teams to maximize enterprise customer value and ROI.
Top Skills:
AIAPIsData VisualizationEnterprise Cx PlatformsReporting And AnalyticsSocial ListeningSprinklrWorkflow Automation
Insurance
Lead digital product management for AI-enabled insurance platform capabilities. Own product roadmaps, prioritize features, define user needs and success measures, advocate for user experience, analyze data, and collaborate with technical and business stakeholders. The role requires hands-on product development, Agile execution, cloud AI experience, API integration, and the ability to scale Generative AI or Agentic AI products.
Top Skills:
Agentic AiAmazon Web Services (Aws)Api IntegrationAws Machine LearningAzure Cognitive ServicesGenerative AiGoogle AiAzurePythonSQL
Information Technology
Designs, implements, and optimizes Salesforce Data Cloud solutions. Responsibilities include configuring data streams, integrating Salesforce and legacy data with MuleSoft or ETL tools, mapping data objects, creating identity resolution rules, building calculated insights with SQL, developing customer segments, configuring activation targets, and managing data governance, privacy compliance, system performance, storage, and usage.
Top Skills:
Amazon S3Ford Pro 360MulesoftSalesforce CRMSalesforce Data 360Salesforce Data CloudSalesforce Marketing CloudSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
