Top Tech Jobs & Startup Jobs

Generates new business and expands existing client relationships within a geographic territory. Builds relationships with contractors, owners, and other stakeholders; supports bid specifications using technical product knowledge; tracks opportunities in CRM; analyzes historical data to develop sales strategies; and maintains market knowledge regarding pricing, opportunities, and competitive strategy. The role focuses on technical sales of pipe, utility construction, and building materials.

Plans, develops, supervises, and promotes citywide athletic and recreation programs, including youth sports, camps, tournaments, and facility operations. Coordinates registrations, staff, volunteers, vendors, schools, agencies, and community organizations; manages budgets, records, reporting, training, communications, and program quality. Provides daily oversight of the municipal gymnasium and athletic fields and supports accreditation, fundraising, public relations, and emergency preparedness requirements.

Own ML engineering infrastructure from experimentation and labeling through data tooling, model deployment, orchestration, inference, and production reporting. Build systems for live A/B testing, scalable training data, nightly pipelines, quality monitoring, and jobsite onboarding. Lead hands-on development while growing the engineering team, managing GPU and cloud costs, and debugging issues across models, data, and pipelines.

Leads the U.S. W-2 Solution Consultant sales channel by recruiting, developing, coaching, and managing a team of 12–15 consultants. Drives sales targets, prospecting, deal closures, training, performance evaluation, cross-functional collaboration, and product and pricing expertise. Requires merchant services sales experience, CRM proficiency, analytical performance monitoring, strong leadership, communication, decision-making, and conflict-resolution skills. The role is based in Dallas with remote consideration and may require up to 50% travel.

Leads external robotics and AI engagements from planning through execution. Responsibilities include defining scope, resources, milestones, staffing, logistics, and operational playbooks; coordinating partners, researchers, hardware, and infrastructure teams; resolving tradeoffs; overseeing on-site deployments; and building scalable engagement operations.

Leads Americas Sales Finance and serves as a strategic advisor to senior sales leadership. Owns topline growth, P&L oversight, annual planning, forecasting, headcount, quota capacity, commissions, pricing, renewals, and investment allocation. Builds financial models, analyzes sales performance and channel economics, guides commercial decisions, and improves finance operating processes. Partners cross-functionally with Sales, Finance, Customer Success, and global teams to drive alignment, accountability, and profitable growth.

Serve as the first contact for families exploring residential aged care. Provide customer service across in-person, phone, and email interactions; manage records and paperwork; conduct home tours; support sales and negotiations; perform cold calls; and develop referral sources. Knowledge of aged-care fees and funding is advantageous. The role requires strong communication, organization, customer service, and relationship-building skills.

Own retention, renewals, churn prevention, and expansion for a high-volume, low-touch B2B SaaS customer segment. Handle cancellation and commercial requests, respond to automated outreach, identify expansion opportunities, maintain Salesforce records and forecasts, and monitor performance metrics. Partner with CX, Billing, and RevOps while improving automation, messaging, and customer engagement processes.

Own platform positioning, messaging, competitive strategy, and go-to-market execution for MISUMI Americas’ digital manufacturing platform. Partner with Product, Engineering, Sales, and Marketing to translate AI, sourcing, and manufacturing capabilities into compelling value propositions. Develop persona-specific content, launch campaigns, sales enablement, product training, case studies, and customer insights. The role requires manufacturing or supply chain technology expertise, SaaS marketing experience, strong technical writing, and travel up to 25% annually.

Develop and deploy statistical and machine learning models, conduct exploratory analysis, forecasting, segmentation, experimentation, and AI initiatives. Translate business needs into analytical frameworks, KPIs, predictive insights, and recommendations. Collaborate with data engineering, BI, QA, and business teams to ensure data readiness, model integration, quality, governance, and auditability. Support revenue, marketing, financial, and operational decision-making through scalable analytical solutions.