Top Tech Jobs & Startup Jobs

Serve as the sales team's technical counterpart: scope requirements, run demos, design cloud integration solutions across ERPs and eCommerce platforms, support presales, create enablement materials, and relay customer feedback to product teams.

Architect, build, and maintain Snowflake-based ELT pipelines and production data models. Implement observability, data quality, and governance; optimize cost and freshness. Partner with Analytics, Product, and Engineering, use dbt/CI-CD and AI-assisted tooling, and participate in reviews and architecture planning to support analytics, BI, and ML.

Design, support, and automate scalable IT solutions; handle Level 1/2 tickets across US, EMEA, PH; provide onsite India HQ support; manage onboarding/offboarding, system migrations, security checks, and documentation; partner with global teams to improve IT service delivery and build self-service workflows using integrator.io.

Manage and grow customer accounts for Celigo's iPaaS: build strong relationships, identify upsell/cross-sell opportunities, own renewals, conduct business reviews, collaborate cross-functionally, and use Salesforce/Clari for reporting and forecasting.

Lead Celigo's ecommerce vertical end-to-end: define strategy, drive growth and adoption, align Sales/Marketing/Product/Success, support complex sales, shape product roadmap, and represent the company externally to build brand and pipeline.

Lead and scale Celigo's Account Management organization, owning net revenue retention, expansion ARR, and renewals. Build operating models, playbooks, and analytics; manage three AM teams via Regional Directors; maintain executive customer relationships; partner cross-functionally on sales handoffs, product feedback, and AM tech stack to drive retention and growth.

Design, implement, and maintain scalable backend services and APIs using Node.js. Build on AWS (Lambda, EC2, S3, DynamoDB, CloudFormation), optimize performance and reliability, troubleshoot production issues, create CI/CD pipelines, collaborate across product and operations, and document system architectures.

Lead design and delivery of SaaS integration products. Architect microservices, ensure performance and scalability, handle large data sets, mentor and lead engineers, partner with product management, and build solutions using MongoDB, Python, AWS, and Kafka.

Lead analytics work across revenue, product, customer, and operations by building dashboards, conducting deep-dive analyses, defining metrics and reporting standards, validating data quality with Data Engineering, and using AI tools to automate reporting and accelerate insights. Communicate findings to technical and non-technical stakeholders and proactively surface trends and opportunities.

Design, build, and maintain scalable, documented data models and the Gold data layer using dbt/Coalesce. Ensure data quality through automated tests, observability, version control, and CI/CD. Optimize SQL and warehouse performance, collaborate with Data Engineering and Analytics, and support semantic layers and BI catalogs to enable trusted, self-service insights for Product, Finance, and GTM teams.