Top Tech Jobs & Startup Jobs

Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Lead and grow an Infrastructure Security team securing cloud infrastructure, edge networks, and application delivery. Drive cloud security architecture, WAF/SASE/zero-trust implementations, PAM and secrets management, incident management and on-call response, KPIs/OKRs, cross-team partnerships, and continuous security process and tooling improvements.

The Manager of Customer Support will lead the team, manage escalated cases, drive operational excellence, and coach team members to improve customer outcomes.

Develop and deliver high-quality software features and integrations for form data frameworks; write maintainable code, build and update automated tests and CI/CD pipelines, monitor and debug production performance, and collaborate with global engineers and product teams.

Manage customer implementation projects end-to-end: plan and adapt deployments, lead setup/configuration and troubleshooting, serve as primary customer point of contact, build trust-based relationships, translate technical details for customers, act as product SME and coordinate cross-functional handoffs.

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.

Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.