Marketing Technology Engineer
Ping IdentityBangalore - IndiaPosted 24 March 2026
Job Description
About Ping Identity:
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.
Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.
While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.
We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.
We are looking for a highly technical Marketing Technology Engineer to serve as the backend and DevOps backbone of our Marketing Operations team. This role sits within Platform Operations, where you will build and maintain the systems, integrations, automations, and guardrails that enable Campaign Operations and Demand Gen teams to function efficiently. You will translate process requirements into scalable, well-documented technical solutions while focusing on APIs, data models, and automation. You will play a critical role in ensuring operational excellence, SLAs, and data integrity. This hands-on engineering position is essential for making the entire marketing engine more scalable, predictable, and efficient.
You will:
Administer and optimize key marketing platforms (e.g., Marketo, 6Sense, RingLead, and attribution tools) with a focus on stability, governance, and security.
Build and maintain API- and event-driven integrations between Marketo and other MarTech/SDR systems.
Execute and automate data hygiene processes, including deduplication, normalization, and enrichment, to support lead routing accuracy.
Implement intake and workflow automations to connect HelpDesk/Asana forms to platform actions, reducing manual cycle time and error risk.
Build reusable technical assets, such as program templates and automation modules, and document technical runbooks and SOPs.
Set up monitoring and alerting for key integrations and use DevOps practices (Git, CI/CD) to track and reduce production failure events.
You have:
4–7+ years in a technical role (Marketing Engineer, Integration Engineer, or similar) supporting enterprise B2B SaaS or complex go‑to‑market environments.
Strong experience with APIs, webhooks, and integrations (REST/JSON, OAuth) and working with third-party SaaS platforms.
Proficiency in at least one scripting language (e.g., Python, Node.js, TypeScript) for automation and data manipulation.
Solid SQL skills and comfort working with relational databases and/or cloud data warehouses.
Practical experience with Salesforce and Marketo, along with an understanding of B2B funnel concepts like MQLs and lead routing.
A high bar for data quality and the ability to diagnose issues across multiple systems to propose long-term technical fixes.
You have an advantage if:
You have experience with lightweight DevOps practices such as environment management and configuration-as-code.
You are familiar with basic cloud services, including serverless functions, containers, and schedulers.
You have experience acting as an internal “super user” for advanced platform features and AI-driven automation.
You have a background in partnering with IT/IS to ensure data privacy compliance (e.g., GDPR/CCPA).
You have experience enforcing UTM and campaign taxonomy to support global das ... (truncated, view full listing at source)
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