Top Tech Jobs & Startup Jobs

Defines organization-wide automation architecture, quality standards, mobile and cloud testing strategies, and deployment-validation practices. Troubleshoots complex automated failures, supports long-running deployments, mentors Staff-level SDETs, conducts peer reviews, and leads quality collaboration with offshore teams across global geographies. The role requires extensive Java, Selenium, API automation, cloud, mobile testing, continuous deployment, log analysis, and cloud-based testing experience, plus professional use of AI-assisted development tools.

Facilitate onboarding training for new go-to-market employees, manage and develop curriculum, deliver supporting sessions, communicate with stakeholders, interpret sales metrics, and maintain localized training resources. The role requires cross-functional collaboration, public speaking, project management, organization, autonomy, and adaptability in a fast-paced environment.

Leads and coaches a data engineering team while contributing hands-on to platform architecture, data modeling, ETL pipelines, data quality, and analytics solutions. Designs trusted facts, dimensions, snapshots, and slowly changing dimensions using Snowflake, Databricks, dbt, and Airflow. Partners with stakeholders, security teams, vendors, and cross-functional groups on data strategy and controls, resolves production issues, supports incident response, and develops engineering talent.

Design, deliver, and maintain a highly available application platform. Build observability, define SLIs/SLOs, manage error budgets, reduce alert noise, automate operations and incident response, embed with product teams to catch reliability risks, and develop/integrate AI/LLM tools for operational intelligence and faster incident resolution.

Lead AI Governance initiatives with strategic customers, translate customer insights and regulations into product vision and roadmap, guide development of AI inventories, risk management, policy and governance workflows, influence product and engineering execution, drive adoption and measurable business outcomes, and act as trusted advisor on responsible AI and compliance.

The Senior Manager of Software Engineering leads project strategy, oversees development processes, ensures compliance with security regulations, and mentors engineers to enhance product delivery and team performance.

Serve as the primary technical contact for strategic enterprise customers: troubleshoot distributed systems and data pipelines, lead deep-dive sessions, drive incident resolution, translate customer needs into product priorities, create technical enablement assets, and mentor support and customer success teams to improve reliability, scalability, and adoption.

Lead technical direction, architecture, and design for major features and related systems. Independently solve complex, ambiguous engineering assignments, collaborate with engineering, Product, and UX teams, establish engineering standards, and mentor senior and mid-level engineers. The role requires broad systems thinking, technical leadership across multiple engineers or systems, and deep frontend or backend expertise with cloud architecture experience.

Manage a portfolio of enterprise customers to drive renewals, retention, upsell and cross-sell. Lead end-to-end negotiations, collaborate with Sales, Customer Success, Pre-Sales and Legal, forecast churn, analyze feedback, and pursue net-new logos within an assigned territory.

Lead the Sales Strategy & Operations team to optimize GTM and drive ACV growth. Own sales operating cadence, forecasting, fiscal planning, pipeline and funnel analysis, territory and quota planning, reporting, analytics, and process improvement. Partner cross-functionally with Sales, Finance, Marketing, and Enablement to translate data into executive recommendations, drive change management, and build scalable sales operations and tooling.