Top Tech Jobs & Startup Jobs

Leads the technical strategy and production scaling of search, recommendation, generative AI, and computer vision systems. Develops retrieval, ranking, personalization, image generation, and visual processing pipelines, while connecting business outcomes to model improvement. Owns end-to-end ML product development, evaluation, experimentation, infrastructure decisions, and serving workflows. Provides technical leadership, mentorship, governance, and architectural direction across data science and machine learning engineering teams.

Manages daily HR operations, payroll changes, benefits administration, leave support, HR systems, employee records, compliance audits, I-9 and E-Verify processes, and employee inquiries. The role reconciles payroll and benefits data, supports open enrollment and 401(k) activities, maintains accurate records, troubleshoots basic system issues, and safeguards confidential information.

Leads a team of up to four data analysts supporting supply-domain product and business teams. Responsibilities include managing performance, prioritizing analytics backlogs, driving high-impact initiatives, mentoring stakeholders, improving data-driven decision-making, hiring analysts, and applying advanced analytical and statistical methods. The role requires strong SQL, data warehousing, BI, product analytics, experimentation, data modeling, and communication skills.

Lead a team of up to four data analysts supporting supply-domain product and business teams. Manage performance, prioritize the analytics backlog, drive high-impact initiatives, mentor stakeholders, improve data-driven decision-making, and support hiring. The role requires advanced SQL, data warehousing, BI dashboards, product analytics, data modeling, experimentation, A/B testing, and statistical analysis expertise.

Lead a team of up to four data analysts supporting supply-domain product and business teams. Manage performance, prioritize the analytics backlog, drive high-impact initiatives, mentor stakeholders, improve data-driven decision-making, support hiring, and promote modern analytical and statistical techniques. The role requires advanced SQL, data warehousing, BI dashboards, product analytics, data modeling, data quality, experimentation, and strong stakeholder communication.

Supports strategic enterprise accounts across customer meetings, product launches, performance reporting, growth initiatives, and cross-functional projects. The role coordinates customer requests, documentation, timelines, follow-ups, and internal stakeholders while helping analyze sales trends and identify growth opportunities. Over time, the Junior Account Manager will take ownership of selected customer workstreams and gradually manage relationships independently.

Develops and executes organic email, SMS, and social media marketing strategies for eCommerce clients. Responsibilities include campaign planning, automation, segmentation, copywriting, creative production, Shopify updates, promotional strategy, quality assurance, analytics reporting, client presentations, competitor monitoring, and ongoing digital marketing research.

Own the strategic vision, commercial performance, P&L, pricing, assortment, lifecycle, and competitive positioning of product categories. Identify growth opportunities, lead launches, analyze markets and trends, optimize catalog performance, and coordinate cross-functional initiatives. Mentor junior category managers, improve processes, and influence company-wide priorities through data-driven recommendations and strong stakeholder leadership.

Manage B2B sales for North American customers, build pipeline with Sales Development, guide prospects through the buying process, uncover customer needs, collaborate across departments, and achieve quarterly sales targets. The role requires outbound sales experience, strong English communication, teamwork, determination, listening skills, and adaptability in a fast-paced environment.

Own product strategy and roadmaps for internal platforms supporting global manufacturing, logistics, and fulfillment operations. Lead complex product domains spanning software, hardware, automation, inventory, production workflows, and workforce operations. Improve operational speed, quality, and cost efficiency by integrating data, equipment, and physical processes. Partner with operators and stakeholders, validate solutions in production environments, and drive adoption across global facilities.