The Role
Run end-to-end new-customer onboarding: project plans, data migration, integrations, training, go-live, and 30-day check-ins. Deliver remote and onsite implementations, build onboarding playbooks, partner with Sales and Support, and report product friction to engineering.
Summary Generated by Built In
TrashLab is the AI-native operating system for waste and recycling haulers across the US and Canada. We replace legacy point solutions with modern technology and AI agents that do real work in the truck, at the scale house, and on the phones. Our platform runs the full operational stack: CRM, billing, dispatch, routing, scale and recycling workflows, driver app and customer portal. Haulers use TrashLab to grow revenue and better serve their customers.
Since launching in 2023, TrashLab has scaled rapidly: live in 40+ states across hundreds of haulers and revolutionizing a $100B+ category with cutting edge technology. And our ambition goes beyond software — over time, we aim to become the financial and operational network that powers the industry. We recently completed our Series A from top-tier investors, and we're hiring a smart, ambitious team that will define what modern hauler technology will look like for the next decade. We move fast and care deeply about the operators we serve. Learn more at trashlab.com.
About the role
We're hiring an Implementation Manager to take freshly-signed haulers from contract to confidently using TrashLab in production — travel light, ship fast, and leave every customer happier than you found them.
You will
- Run new-customer onboarding end-to-end: project plan, data migration, configuration, integration setup (accounting, payments, routing data), training, go-live, and first-30-day check-ins.
- Travel to customer sites for kickoffs, go-lives, and high-leverage in-person training — onboardings are a mix of remote implementation and onsite work.
- Sit with a hauler's CSR team, dispatcher, or scale-house operator, say “let me show you how this works” — and have them comfortable in an hour.
- Build and refine onboarding playbooks per customer segment (residential, commercial, roll-off, scale houses) using AI-generated checklists, automated configuration scripts, and in-app guides — what good looks like: <45-day implementations and 90%+ onboarding completion.
- Partner with Sales on handoff quality and with Support on post-onboarding escalations.
- Catch product friction early and route it to engineering with crisp repro steps — you're the canary for usability issues.
You are a great fit if
- You have 3+ years in SaaS onboarding, implementation, customer success, or operations roles — strong preference for vertical SaaS that touches physical operations.
- You're comfortable holding a project plan, a customer's hand, and a dashboard simultaneously.
- You know how to teach an operator who's never used software like this before — without being condescending.
- You're AI-forward — you already put AI agents and automation to work on the repeatable parts, or you're eager to learn and build.
- You're comfortable traveling regularly, have the constitution for early-morning customer sites, and can maintain poise and develop a plan in unstructured environments.
- A plus: background in waste, fleet, field service, hospitality, or logistics software, and comfort with data migration tooling (CSV wrangling, basic SQL).
Additional details:
- Location: Remote, Full-time
- Compensation: $120,000 - $140,000 OTE
- Benefits: Fully-covered options for health, dental, and vision insurance, with significant contributions for spouses & dependants. HSA, FSA, 401k, Commuter Benefits accounts available.
TrashLab is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic under applicable law. Employment with TrashLab is at-will, and this job description is not a contract of employment. Responsibilities, qualifications, and benefits are subject to change at the company's discretion.
Skills Required
- 3+ years in SaaS onboarding, implementation, customer success, or operations roles
- Experience holding project plans, coordinating handoffs, and tracking dashboards
- Ability to teach and train non-technical operators effectively
- Comfortable traveling regularly, working early-morning customer sites, and operating in unstructured environments
- Use of AI agents or automation to streamline repeatable onboarding tasks (or eagerness to learn)
- Identify product friction and create clear repro steps for engineering
- Background in vertical SaaS that touches physical operations (waste, fleet, field service, logistics)
- Comfort with data migration tooling (CSV wrangling, basic SQL)
TrashLab Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TrashLab and has not been reviewed or approved by TrashLab.
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Leave & Time Off Breadth — Time off is structured as “unlimited vacation” with a stated 15‑day minimum, creating a clear baseline above typical unlimited‑PTO norms. This explicit floor signals intent for people to actually take adequate time away.
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Healthcare Strength — Core medical, dental, and vision coverage are explicitly listed for a small, early‑stage company. Publishing these table‑stakes benefits indicates a solid baseline of health support.
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Flexible Benefits — The work model includes onsite or remote options with hiring across the U.S., Canada, and parts of LATAM. This geographic and location flexibility expands access for candidates outside the Bay Area.
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The Company
What We Do
TrashLab develops a dumpster management platform designed to improve the bottom line of waste haulers and sustainability through modern software solutions. Their cloud-based platform integrates dispatch, billing, driver tracking, orders, calls/texts, and payments, using AI to automate tasks and streamline operations.
