Top Tech Jobs & Startup Jobs

Owns the full-cycle sales process for acquiring net-new clients, from prospecting and pipeline generation through discovery, proposal development, negotiation, and close. The role carries individual revenue targets, manages forecasts and CRM records, consults with prospects on data, research, audience intelligence, digital media, and measurement solutions, and coordinates subject-matter experts as needed. Ongoing account management and delivery are not core responsibilities.

Leads payroll shared services across U.S. and Canadian multi-entity operations, ensuring accurate, compliant, and timely payroll delivery. Manages payroll staff, UKG configuration, tax compliance, controls, audits, year-end processing, reporting, process standardization, and payroll integrations for acquisitions. Partners with HR, Finance, Internal Audit, and business stakeholders to resolve issues, improve systems, protect sensitive data, and support union and non-union payroll environments.

Lead the technical direction and implementation of Current’s machine learning platform, covering feature pipelines, training data, model training, serving, monitoring, reproducibility, and production-readiness standards. Establish scalable workflows, improve training-serving consistency, support data scientists, define model governance contracts, evaluate build-versus-buy tooling, and drive adoption across engineering, data science, risk, marketing, and finance.

Leads engineering vision and execution for a scalable B2B brokerage platform. Responsibilities include solution architecture, platform and ledger capabilities, strategic product delivery, engineering team leadership, AI and automation adoption, cross-functional collaboration, and operational excellence. The role requires expertise in distributed systems, microservices, cloud and container technologies, Java, Kafka, databases, financial services technology, brokerage platforms, and modernization of legacy systems.

Lead or assist customer implementations, collect and analyze customer requirements to design features and prioritize roadmaps, run online product demos, and provide technical/business support via phone, email, and support tickets.

Develop and optimize pricing architecture, regional pricing, packaging, bundles, and subscription tiers across Marketplace and Subscription products. Build data-driven business cases, analyze competitive pricing, design pricing experiments, and evaluate customer willingness-to-pay, elasticity, conversion, GMV, and lifetime value. Collaborate with Product, Marketing, Engineering, Analytics, and Finance, while presenting pricing recommendations and experiment findings to senior stakeholders.

Own end-to-end member growth across acquisition, onboarding, activation, retention, reactivation, and referrals. Build and prioritize a growth backlog, establish measurement frameworks, run data-driven experiments, and communicate trade-offs to executives. Partner with product, marketing, data, engineering, and design teams to create organic and viral growth loops, use AI tools to accelerate delivery, and improve growth outcomes for a scaled consumer software product.

Leads derivatives operations covering futures, options, trade allocation, clearing, physical delivery, exercise and assignment, exceptions, and operational controls. Manages teams, regulatory risk, supervisory processes, stakeholder relationships, metrics, dashboards, automation, process improvements, system implementations, and audit readiness. Partners with clients, risk, compliance, technology, exchanges, and clearing organizations while driving operational change and service quality.

Own Acquia’s technology alliance strategy across ISV, OEM, platform, DAM, and content-creation partners. Manage strategic relationships including AWS, develop co-sell and marketplace motions, recruit and launch integrations, build OEM revenue models, and execute joint go-to-market programs. Lead cross-functional collaboration with Product, Marketing, and Sales while managing, coaching, and growing a team of technology alliance managers.

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.