Jobs at Celigo

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.

Own the full sales cycle for commercial customers: prospect, qualify, conduct discovery, demo Celigo's iPaaS, coordinate technical evaluations, use AI tools and Salesforce to forecast, meet revenue targets, and collaborate cross-functionally to close deals.

Own and evolve the CloudExtend SaaS platform: design scalable, secure AWS-native architectures, operate production systems, lead security and compliance (SOC2), resolve escalations, drive platform modernization, and mentor engineering teams while contributing hands-on code and IaC.

Serve as the primary point of contact for assigned B2B SaaS accounts. Build long-term relationships, drive adoption and retention, manage renewals, identify upsell/cross-sell opportunities, coordinate cross-functional delivery, track account health and usage, conduct business reviews, and maintain CRM records to ensure customer success and satisfaction.

Support and engineer scalable IT solutions and automations, handle Level 1/2 tickets across US, EMEA, PH, provide onsite India HQ support, manage onboarding/offboarding, perform migrations, use integrator.io and scripting to automate workflows, maintain security posture and documentation, and coordinate global IT handoffs.

Lead Product Manager to own Human-in-the-Loop (HITL) strategy and delivery. Drive product discovery, UX design, and engineering for stateful workflows, pause/resume logic, task routing, and builder/end-user experiences. Partner cross-functionally with UX, research, engineering, GTM, and customers to define requirements, instrumentation, and success metrics that increase adoption, trust, and workflow completion.

Manage, operate and automate large-scale, mission-critical cloud production systems. Build and maintain CI/CD pipelines, provisioning, deployments, monitoring, observability and incident response. Collaborate with engineering and security teams to ensure availability, scalability, compliance and continuous delivery.

Lead strategy and execution for Core Platform, AI, API management, and data ingestion products. Manage and develop senior PMs, drive AI product-market fit, operationalize AI-first PM practices, support sales and analyst relations, and own multi-quarter roadmaps tied to revenue and retention.

Lead and coach a team of Partner Account Managers to drive partner-sourced revenue across North America. Own pipeline, forecast, attainment, deal coaching, and escalate/resolving partner issues. Act as senior partner-facing executive for top ecosystem partners, run QBRs and on-site meetings, and translate channel strategy into field execution while collaborating cross-functionally.

Serve as the sales team's technical counterpart in presales: scope requirements, run product demos, craft cloud integration solutions across ERPs and eCommerce systems, provide product feedback to engineering, and develop sales enablement materials while supporting customer-facing activities.

Design, build, and operate scalable integrations and AI agents using Celigo integrator.io, LangChain/LangGraph and modern cloud data pipelines. Collaborate with business stakeholders to automate processes, ensure data quality and security, own integrations end-to-end, produce technical documentation, and support operational hand-offs.