MarTech Manager job opportunity at Replit.

Home Jobs In United States Of America Tag: GTM MarTech Manager position at Replit


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Replit MarTech Manager
Experience: General
Pattern: full-time
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GTM

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degreeBachelor's (B.Sc.)
loacation Foster City, CA (Hybrid) In office M,W,F, United States Of America
loacation Foster City, C..........United States Of America

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: The MarTech Manager will sit at the intersection of marketing, data, and revenue operations, owning the systems and pipelines that power how we acquire, engage, and convert customers. This role partners closely with Marketing, RevOps, and Data to design, build, and maintain a scalable, reliable marketing technology stack. You’ll be responsible for everything from integrating tools and modeling data to enabling experimentation, attribution, and lifecycle orchestration. This is a hands-on, high-impact role for someone who enjoys both building and problem-solving in a fast-moving environment. What You'll Do Design, build, and maintain integrations across our marketing and revenue tech stack, including Salesforce, Iterable, Clay, and our data warehouse Own marketing data pipelines using tools like Python, dbt, and Hex to ensure clean, reliable, and well-modeled data Partner with Marketing to enable lifecycle programs, lead scoring, segmentation, and personalization at scale Implement and maintain attribution, experimentation, and reporting frameworks that support data-driven decision making Translate marketing and revenue requirements into technical solutions, balancing speed, scalability, and data integrity Debug data quality and system issues across tools and proactively improve reliability and observability Document systems, data models, and workflows to support long-term maintainability and knowledge sharing Evaluate and recommend new tools or approaches as our go-to-market motion evolves Required Skills & Experience 6+ years of experience in Marketing Technology, Revenue Operations, Data Engineering, or a related technical role Strong proficiency in Python and SQL, with experience building and maintaining production data pipelines Hands-on experience with modern analytics and transformation tools such as dbt and Hex (or similar) Deep familiarity with Salesforce data models, integrations, and marketing use cases Experience working with marketing automation and engagement platforms (e.g., Iterable, Marketo, HubSpot, Braze) Comfort integrating third-party tools and APIs (e.g., Clay or enrichment vendors) Strong understanding of marketing funnels, lifecycle marketing, and attribution concepts Ability to work cross-functionally and translate business problems into technical solutions High attention to data quality, documentation, and system reliability This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: ???? Competitive Salary & Equity ???? 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance ???? Short Term and Long Term Disability ???? Paid Parental, Medical, Caregiver Leave ???? Commuter Benefits ???? Monthly Wellness Stipend ????‍???? Autonomous Work Environment ???? In Office Set-Up Reimbursement ???? Flexible Time Off (FTO) + Holidays ???? Quarterly Team Gatherings ☕ In Office Amenities Want to learn more about what we are up to? Meet the Replit Agent Replit: Make an app for that Replit Blog Amjad TED Talk Interviewing + Culture at Replit Operating Principles Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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