Top Tech Jobs & Startup Jobs

Own machine learning systems end to end, from data exploration and modeling through production deployment, monitoring, and iteration. Build scalable NLP, LLM, retrieval, ranking, recommendation, prediction, and agentic systems with explainable outputs. Partner with Product and Go-to-Market to deliver customer-facing AI capabilities, improve ML platform reliability, communicate technical work clearly, and mentor engineers.

Manage a portfolio of enterprise customers to drive adoption, onboarding, ROI, renewals and growth. Partner with technical CSMs, sales, and product to implement solutions, measure value, resolve issues, identify expansion opportunities, and build customer advocates.

Lead SecOps and threat initiatives: detect, investigate, and remediate complex incidents; perform forensics and adversary emulation; build automation and security tools; mentor engineers; run threat exercises and collaborate cross-functionally to reduce risk.

Own enterprise customer relationships to drive platform adoption, align usage to business outcomes, lead renewals and expansion, operationalize scalable CS processes, run executive business reviews, influence product roadmap with customer feedback, and coordinate onboarding and enablement to ensure long-term value and retention.

Lead and execute SecOps and threat initiatives: detect, investigate, and respond to complex security incidents; perform forensics and adversary emulation; build automation and security tools; research threats and push mitigations; run threat exercises; mentor security engineers and communicate risks across stakeholders.

Lead SecOps and threat initiatives: detect, investigate, and remediate complex incidents; perform forensics and adversary emulation; develop automation and security tools; run threat exercises; mentor engineers; and communicate risks while driving closure on incidents and security projects.

The Sr. Software Engineer is responsible for designing and building robust big data systems, establishing engineering standards, and performing data transformations. The role involves communication and collaboration across teams to implement data solutions.

Sell 6sense's predictive B2B marketing platform by closing large, complex enterprise deals. Own territory like a CEO, evangelize the product, drive net-new logos, manage pipeline, and consistently exceed quota while collaborating across teams to drive customer growth.

Manage day-to-day execution, monitoring, troubleshooting, optimization, and reporting for omni-channel digital advertising and email campaigns. Validate setups, resolve delivery/tracking issues, support Go-to-Market teams via tickets and Slack, collaborate cross-functionally, and maintain troubleshooting guides and creative operations.

Design, build, and deploy production ML and NLP systems (including transformer and retrieval-based models). Work across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, monitoring, and retraining. Collaborate with Product, Engineering, and Analytics to translate requirements into scalable, observable ML solutions and contribute to GenAI/RAG/agentic AI initiatives.