Top Tech Jobs & Startup Jobs

Own full-cycle, high-volume recruiting for sales and customer success roles, including sourcing, screening, interviewing, scheduling, stakeholder coaching, and closing. Build diverse talent pipelines, use funnel metrics and candidate feedback to improve hiring outcomes, experiment with AI-enabled recruiting workflows, promote inclusive hiring, deliver an exceptional candidate experience, and strengthen the employer brand. Partner closely with hiring managers in a fast-paced SaaS environment.

Senior Business Data Scientist, Marketing partners with cross-functional leaders to drive customer analytics across acquisition, onboarding, engagement, retention, monetization, and expansion. Lead deep-dive analyses, experimentation and impact evaluation, KPI governance, forecasting, and predictive analytics. Translate complex business questions into actionable recommendations, build reusable decision frameworks and scalable analytics assets, mentor analysts, and communicate executive-ready insights to influence strategic priorities and improve long-term customer value.

The role involves leading the Payments GTM Operations team to drive customer engagement and revenue growth through operational strategies and data analysis, refining customer journeys, and collaborating across various teams.

Lead and develop a credit risk analyst team while owning underwriting, exposure decisions, portfolio monitoring, loss forecasting, reporting, and provisioning. Partner with Data Science, Risk Analytics, Finance, Product, and Support to build credit risk models, policies, controls, and automated workflows. Establish an AI-native credit risk practice for payments and future lending products, communicate portfolio trends to leadership, and support vendor evaluations and product launches.

Lead and mentor engineering teams to design, architect, and deliver scalable, maintainable software. Drive cross-team initiatives, partner with Product and Design, participate in code reviews, promote engineering best practices, and spend time on Staff Dev Projects to reduce technical debt and explore emerging technologies.

Lead strategy and execution for Jobber Central and the franchise program, defining vision, roadmap, and metrics for multi-location and franchisor/franchisee use. Partner with Business Development, Sales, Success, and Product Marketing to drive RFPs, partner conversations, and commercial outcomes. Synthesize customer insights, prioritize cross-team investments, and manage stakeholder alignment to increase adoption, revenue, and reduce churn.

Leads revenue operations strategy, GTM systems, top-of-funnel experimentation, AI and automation deployment, data vendor relationships, forecasting, and pipeline optimization. Owns marketing and outbound automation, including API integrations, n8n workflows, scoring pipelines, reporting, monitoring, debugging, and enablement. Partners across Marketing, Sales, and Customer Success to scale revenue processes, validate growth hypotheses, and improve conversion systems.

Owns end-to-end sales planning for a scaling B2B SaaS company, including quota modeling, capacity planning, forecasting infrastructure, headcount planning, and goal translation. The role establishes recurring planning processes, connects company targets to field execution, communicates insights to senior stakeholders, and builds the planning team by hiring and managing an analyst.

Senior Customer Analytics Manager leads strategic analytics across the customer lifecycle—acquisition, onboarding, engagement, retention, monetization, and expansion. Partners with cross-functional teams to translate business questions into rigorous analyses, experimentation, forecasting, and predictive models; defines KPIs; builds dashboards and decision tools; mentors analysts; and drives scalable, AI-enabled analytics that inform executive decisions and improve customer value.

Lead full-cycle technical recruiting for engineering, design, product, data, and security roles. Partner with hiring managers to build diverse pipelines, use data and AI to optimize hiring, run competency-based interviews, coach stakeholders, and improve employer branding and candidate experience.