Lead end-to-end MarTech implementations (CDP, CRM, Marketing Automation), translate business needs into technical requirements, design integrations and data schemas, guide internal engineers, support marketing analytics and journey mapping, and advise clients on MarTech stack optimization and migrations.
ABOUT APPLY
APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx, NFL, Lululemon, and Kraft Heinz. For more information, visit applydigital.com.
Responsibilities:
- Guiding an implementation for a CRM, CDP, and/or Marketing Automation system from beginning to end, leading the documentation and planning process, all the way through writing requirements for the implementation of the actual code
- Recognize opportunities and solutions to key business challenges through technology, recommending additional tools and providing guidance on getting more value out of current tools, along with designing entire Martech stacks from scratch
- Provide specifications and requirements for the internal technical team, working with the technical project manager and engineers to ensure a successful outcome
- Leading implementation projects and consistently communicating on project deliverables with clients.
- Acting as an SME (Subject Matter Expert) on certain sales presentations and standup meetings with clients, with the ability to speak confidently about their deliverables, ideas, and best practices
- Marketing analytics and reporting support as needed. Understanding user journeys, marketing automation, and customer data
- Understand multi/omnichannel transactional and marketing messaging
- A good understanding of user states, events, and user journey mapping
Examples of projects:
- Multi-tool MarTech implementations, including CDP and Marketing Automation Platforms, according to business use cases and prioritization alongside business strategists
- Assisting in the creation of new marketing programs by translating technical requirements into the required code for various data sources, and how they would flow down into each destination
- Marketing automation migrations, including ensuring proper data schemas to maintain parity for clients’ existing lifecycle programs, optimizing for new use cases, and enabling clients with new tool features
- Optimizing clients’ existing lifecycle programs by improving data accuracy, identifying schema improvements, or identifying other efficiencies to drive greater personalized messaging
Minimum requirements to be considered:
- Has 5+ years of experience in software development
- Has 5+ years of experience integrating 3rd party tools and has been involved in the planning and development of ETL solutions
- Has 2+ years of direct experience working within Segment, mParticle, Tealium, Treasure Data, or a similar CDP tool
- Has 2+ years of experience in client or key stakeholder interaction
- Has previously designed and architected a CDP or Marketing Automation integration and can speak through the entire implementation process
- Experience working with APIs, Mobile SDKs, HTML, CSS, and/or JavaScript
- Experience with cloud technology such as AWS (EC2/S3/Lambda/Redshift), GCP Heroku, or iPaas
The ideal candidate:
- Experience determining cross-platform technical requirements for tools across the MarTech stack
- Has platform experience designing and implementing solutions within Segment, Rudderstack, mParticle, Tealium, or similar CDPs
- Has technical experience configuring automated campaigns and journeys within Lifecycle marketing tools such as Braze, Iterable, Klaviyo, customer.io, or similar platforms
- Has experience with other tools across the MarTech stack, including analytics, enrichment, and attribution
- Understands multi/omnichannel transactional and marketing messaging
- Understands marketing attribution and can audit platform integrations and attribution data
- Proficient with JSON or SQL/data modeling best practices
- Experience in data activation using reverse ETL tools like Hightouch or Census
- Proficient with scripting languages and lambda functions
- Has the ability to clearly articulate/present technical topics to a non-technical audience
- Platform experience with Shopify or Magento
LIFE AT APPLY
People are at the core of everything we do at APPLY. We provide you with modern tools, systems and approaches, value your time, safety, and health, and strive to build a work community where you can thrive and grow. Here are a few benefits we offer to support you:
Agentic Delivery: Our people work in a modern way to deliver client outcomes. Broaden your skills on a range of engagements with international brands that have a global impact.
An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
AI & Strategic Upskilling: Accelerate your professional growth with generous training budgets and mentorship, with a specific focus on Agentic AI expertise and the critical human skills required for the future of work.
APPLY is a safe, respectful, and inclusive community where differences are celebrated. We are committed to equal opportunity and fostering a workplace where everyone belongs. Learn more in our Diversity, Equity, and Inclusion (DEI) section. For recruitment accommodations, please email [email protected].
Similar Jobs
An Hour Ago
Easy Apply
Easy Apply
Marketing Tech • Real Estate • Software • PropTech • SEO
Own and improve the AI Social generative media pipeline: build and ship LLM-driven prompts/agent loops, choose and compose media (image, video, voice, music), collaborate with product/design/content, and deliver polished, production-quality social assets.
Top Skills:
Agent LoopsAWSClaude CodeCursorElevenlabsFigmaHeadless Browser RenderingLinearLlm SdksNode.jsNotionPostgresPrompt EngineeringReactShotstackTemporalTool-CallingTypescriptVeo
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical strategy and deliver backend systems for search and recommendation at scale. Collaborate with PM, design, and analytics to define and execute business-impacting projects. Own operations, availability, monitoring, and on-call practices while mentoring engineers and setting code and design standards.
Top Skills:
AWSKotlinKubernetesMySQLPythonReactSpark
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own and grow strategic distribution and ecosystem partnerships across AI, hardware, and SaaS to drive acquisition, adoption, and revenue. Identify opportunities, build business cases and financial models, lead negotiations, manage partner lifecycle, analyze performance, and collaborate cross-functionally to launch and scale partnerships.
Top Skills:
AIAutomationCloud ServicesDeveloper PlatformsHardware EcosystemsSaaS
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



