Top Tech Jobs & Startup Jobs

Run technical discovery, design integrations, and provide pre-sales technical guidance to support sales cycles. Answer RFP/RFI/security questions, demonstrate PagerDuty value to stakeholders, manage multiple accounts, and collaborate with sales, product, and cross-functional teams to ensure successful implementations.

Build and productionize statistical and ML models to optimize advertiser performance and business goals in mobile ad tech. Tune optimization, model competition and dynamic environments, design experiments, develop budget retention/growth and bidding systems, and collaborate across engineering and business teams while ensuring explainable, well-tested solutions.

Lead revenue accounting and ASC 606 compliance, manage month/quarter/year close, review contracts, oversee deferred revenue and reconciliations, maintain SOX controls, mentor a team of five, drive process automation, and partner with Sales, FP&A, Legal, and IT to support growth and audits.

Support healthcare go-to-market activities: identify and outreach to prospects, match and vet consulting experts, coach candidates, manage project processes, and monitor engagements to drive business growth.

As a Sales Development Representative, you will generate leads, qualify potential customers, and manage outreach efforts in the healthcare space to support the sales team.

As a Data Center Support Technician, you will troubleshoot technical issues, provide customer support, monitor systems, and assist with equipment management in a 24/7 onsite environment.

Owner of Empathy's business value agenda: build frameworks and infrastructure to prove ROI, run experiments with Sales/Product, coordinate cross-functional work, set and track goals, promote AI adoption, and drive ad hoc commercial priorities alongside leadership.

The Sales Director will drive growth at Outset by selling AI-powered research solutions to enterprise Market Research and Insights teams, managing the full sales cycle from prospecting to closing deals.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models, mentor junior data scientists and ML engineers, establish MLOps and data-science workflows on GCP, and align initiatives with product and global teams to deliver measurable business value.

Perform outbound and inbound prospecting via phone, email, and LinkedIn to generate qualified leads, schedule meetings, support sales team calls, and use data-informed approaches. Maintain prospect lists, engage prospects, overcome objections, and participate in ongoing training to improve skills and drive pipeline growth.