Top Tech Jobs & Startup Jobs

Build and maintain AI-powered GTM workflows and integrations across Salesforce, Agentforce, Workato, and Zapier. Develop Apex/Flow solutions, connect systems via APIs/webhooks, design scoring and data models, support GTM teams, test and document automations, and measure business impact.

Build and maintain scalable, high-performance data pipelines and platforms using Spark/Scala/Python. Own end-to-end projects, collaborate with product and global teams, mentor junior engineers, implement testing and performance tuning, and contribute to the technical roadmap.

Own and deliver end-to-end data engineering projects: design, build, test, deploy, and maintain scalable big-data pipelines and APIs. Collaborate with product and global teams, mentor junior engineers, monitor performance, and drive technical roadmap and stability improvements.

Lead design, build, and maintain scalable big-data pipelines and back-end systems. Own end-to-end projects, collaborate with product, mentor junior engineers, ensure code quality, testing, performance tuning, and system reliability.

Develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Perform exploratory data analysis on large datasets, validate models for accuracy and scalability, and integrate models into production with engineering and product teams. Communicate findings to technical and non-technical stakeholders and stay current on research and methods.

Develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Perform exploratory data analysis on large datasets, validate model accuracy and robustness, and integrate models into production with engineering and product teams. Contribute to code reviews, best practices, and communicate findings to technical and non-technical stakeholders while staying current with research and new technologies.

Develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Perform EDA on large datasets, validate models, collaborate with engineers and product managers to integrate models into production, contribute to code reviews and best practices, and communicate findings to technical and non-technical audiences.

Pre-sales role focused on outbound and inbound lead generation: book meetings, qualify leads, evangelize product, maintain CRM hygiene, conduct high-volume phone/email outreach, research prospects, identify decision-makers, and collaborate with sales, marketing, and channel teams.

Lead design, build, and scale of Kubernetes-based, multi-tenant infrastructure and AI tooling. Own CI/CD, IaC, GitOps, and streaming analytics (Kafka/Flink/ClickHouse). Improve observability, SLOs, automated testing, progressive delivery, incident response, and mentor teams on reliability, security, and automation.

Lead design and scaling of Kubernetes-based, multi-tenant infrastructure and AI tooling (MCP servers). Own CI/CD pipelines, progressive delivery, IaC (Terraform/Helm/Argo CD), streaming analytics (Kafka, Flink, ClickHouse), observability, incident response, automated testing, and mentor engineers to improve reliability and automation.