Data engineer

Job details

Key Responsibilities

· Own implementation, customization, and integration of GTM tools (CRM, marketing automation, sales engagement, CS tools, etc.)

· Maintain and improve our CRM (e.g., HubSpot, Salesforce) and its data quality, pipeline visibility, and reporting accuracy

· Set up triggers, automations, and workflows to ensure leads are captured, routed, and followed up on effectively

· Design and document workflows across lead management, opportunity lifecycle, onboarding, renewals, and upsells

· Work closely with Marketing, Sales, and CS to operationalize campaigns, sequences, playbooks, and lifecycle touchpoints

· Monitor funnel health, conversion rates, and identify leakage or bottlenecks

· Collaborate with marketing to structure and launch automated email journeys for lead nurturing, reactivation, onboarding, and retention

· Implement A/B testing frameworks, behavioral triggers, and segmentation logic

· Build dashboards and reports that give the team visibility into key GTM metrics: lead source attribution, CAC, conversion, churn, LTV, etc.

· Enable data-driven decision-making by connecting product usage data with GTM systems

Requirements

· 2–5 years of experience in GTM operations, RevOps, or similar technical-commercial role

· Experience with CRM tools & marketing automation platforms preferred

· Strong knowledge of Azure data factory, data brick,

· Ability to build and manage integrations (via Zapier, Make, API’s) and data flows

· Solid understanding of the SaaS customer lifecycle and B2B funnel dynamics

· Strong analytical skills and ability to turn messy data into actionable insight

· Excellent communicator and cross-functional collaborator

· Experience with product-led growth tools or customer data platforms

· Strong experience & familiarity with SQl, Python or low-code/no-code toolsKey Responsibilities