Top Tech Jobs & Startup Jobs

Leads business development GTM strategy and planning across channels. Designs territory, targeting, prioritization, pipeline, and coverage models; establishes CRM operating standards; analyzes market potential, competitors, conversion, and offer performance; and translates insights into sales playbooks, goals, and investment recommendations. Partners with Sales, Marketing, Product, Pricing, Analytics, and channel leaders to improve pipeline conversion, develop segment value propositions, and coordinate co-selling and channel execution.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Leads the development of Arrive Logistics’ management development strategy, focusing initially on Sales Managers. The role studies top-performing leaders, builds scalable training and coaching programs, partners with sales and Employee Success teams, measures impact on performance and retention, and expands the coaching model across the organization.

Performs routine IT system administration, including user account maintenance, access provisioning, configuration updates, system monitoring, scheduled maintenance, documentation, and incident or service request ticket routing. Follows established procedures and runbooks while escalating system anomalies and service disruptions to senior team members.

Own the strategy, discovery, development, and delivery of shared platform and agentic AI capabilities. Partner with engineering, customers, product marketing, and cross-functional teams to identify needs, prioritize roadmaps, prototype solutions, define acceptance criteria, and measure outcomes. The role requires building complex data products, integrating LLMs, driving customer empathy, making tradeoffs in ambiguous environments, and delivering scalable software products for B2B healthcare and MedTech customers.

Provides virtual wealth-management advice to mass-affluent clients through phone and video consultations. Analyzes client finances, recommends investment strategies and insurance products, develops client relationships, grows assets under management, acquires and retains clients, achieves sales goals, and maintains regulatory and company compliance while partnering with branch personnel.

Leads Posh’s unified data and ML organization of eight across data science, machine learning, and analytics/data engineering. Owns discovery, ranking, recommendations, search, experimentation, causal inference, data infrastructure, AI-native analytics, and technical roadmap development. This player-coach role requires mentoring senior and mid-level talent, conducting hands-on model and experiment reviews, improving ML foundations, and translating product goals into measurable technical investments.

Provides empathetic customer and provider support through chat, messaging, and phone. Resolves technical, insurance, billing, and platform questions; documents interactions; meets service, quality, response-time, and productivity expectations; escalates issues when needed; participates in coaching and training; identifies recurring problems; and collaborates with Product and internal teams to improve the support experience.

Leads and develops inbound and outbound SMB sales teams, driving new-logo acquisition, pipeline growth, transactional SaaS sales, and performance against aggressive targets. Responsibilities include coaching, hiring, performance management, sales process improvement, CRM and metrics analysis, cross-functional collaboration, client relationship development, and reporting to senior leadership. The role requires an Austin-based leader who can work hybrid and use AI tools to improve sales workflows and decision-making.

Leads product quality intelligence and continuous improvement across post-release reliability, appliance availability, incidents, support burden, and engineering health. Connects telemetry, support, defect, configuration, and version data to identify customer risks and drive corrective actions. Owns quality measures, executive analysis, cross-functional accountability, and validation of improvements. Also develops governed AI workflows for investigation and classification while partnering with engineering, support, data science, and CTO leadership.