Top Tech Jobs & Startup Jobs

Build data infrastructure and reliable pipelines, analyze product usage, train traditional and LLM-based models, define product metrics, run experiments, and translate findings into product and go-to-market decisions. The role combines data science, data engineering, product analytics, machine learning, and stakeholder communication, with ownership across data modeling, evaluation, experimentation, and product insight generation.

Leads, coaches, recruits, and manages Sales Executives to achieve net-new customer acquisition, revenue, pipeline, and quota targets. Oversees sales-cycle execution, including lead follow-up, proposals, objection handling, closing, forecasting, customer relationship development, and KPI accountability. Identifies market opportunities and competitive shifts, presents performance reports to leadership, and maintains a high-performing sales culture through ongoing mentoring and education.

Identify and qualify leads through outbound outreach (calls, email, social), schedule meetings/demos, maintain CRM records, collaborate with sales and marketing, track industry trends, and meet monthly lead and meeting targets to drive revenue.

Identify and qualify leads through outbound outreach (calls, email, social), schedule demos, maintain CRM records, collaborate with sales and marketing, and meet monthly lead and meeting targets.

Provide end-to-end HR support for Brazil and LATAM: advise clients on local labor laws, manage vendors, handle lifecycle events, ensure compliance, optimize processes, and adopt AI tools to improve regional HR operations.

Lead end-to-end lifecycle of large, ambiguous, cross-functional enterprise programs. Partner with executives, establish working teams, define scope and success criteria, unblock dependencies, communicate program health, run workshops, adopt AI-enabled PM practices, and mentor other program managers to ensure on-time, high-quality delivery aligned to corporate goals.

Partner with leaders to design and administer total rewards programs, perform market benchmarking and pay analyses, manage compensation cycles and job documentation, train stakeholders, handle day-to-day compensation administration, and recommend process improvements while integrating AI tools to increase efficiency.

Provide Canadian-focused HR support for clients across the employee lifecycle: advise on compliance and benefits, manage payroll and vendor partners, handle onboarding/offboarding and terminations, maintain client and vendor records, lead compliance projects, drive AI/product adoption to streamline HR operations, and deliver strategic, customer-facing HR guidance.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

Partner with functional leaders on total rewards strategy and compensation administration. Conduct market benchmarking and pay analyses, manage salary cycles, train managers, handle job documentation and day-to-day compensation operations, and recommend program improvements. Integrate AI tools to increase efficiency.