TrashLab

United States
19 Total Employees
Year Founded: 2022

Jobs at TrashLab

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Recently posted jobs

2 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Machine Learning • Productivity • Software
Build and lead TrashLab's sales organization: personally close new-logo ARR across SMB, mid-market and municipal haulers; recruit, train, and manage closers; establish sales processes, forecasting, and tooling; partner with Marketing and GTM Engineering on ICP, messaging, and AI-driven automation; travel frequently for deals and events.
8 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Productivity • Software
The Product Engineer will collaborate with customers to design solutions, maintain product quality, and optimize systems for efficiency in the waste management technology sector.
14 Days AgoSaved
Remote
United States
Artificial Intelligence • Machine Learning • Productivity • Software
Lead post-onboarding customer journey across adoption, support, renewals and expansion. Manage and grow a remote account management and frontline support team, build AI-driven support stacks, drive retention and NPS metrics, partner with implementation and product, and own renewal/expansion playbooks.
16 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Machine Learning • Productivity • Software
Own end-to-end inbound demand generation across SEO, content, paid, ABM, partners, and events. Build AI-driven content and lead-gen systems, manage six-figure digital and events budgets, map and score hauler ICP accounts, drive measurable pipeline growth, and coordinate conversion experiments with GTM Engineering.
21 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Productivity • Software
As a founding Product Manager, you'll drive core product development, engage with customers, build prototypes, and enhance waste hauling workflows.
24 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Productivity • Software
Lead a team that runs and ships production AI agents and agent-driven workflows. Own architecture, code quality, delivery, and coaching for a distributed engineering team. Partner with the CTO to redesign the stack for agentic systems and ensure high-quality, timely product releases.