About PackageX:
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.
About the Role:
We are looking for a CRM & Revenue Operations Specialist to manage and optimize our CRM system (HubSpot) and support revenue growth through streamlined sales operations. This role will work closely with the sales, marketing, and customer success teams to enhance workflows, automate processes, and improve data integrity. The ideal candidate is a strategic thinker with a strong background in CRM administration, sales enablement, and revenue operations.
Key Responsibilities:
- Manage, maintain, and optimize the company’s CRM system (HubSpot).
- Support sales enablement by improving workflows, automating processes, and ensuring data accuracy.
- Collaborate with cross-functional teams (sales, marketing, customer success) to drive operational efficiency.
- Develop and maintain reporting dashboards and analytics to track sales performance and pipeline health.
- Integrate and manage revenue tech stack tools (e.g., Outreach, Gong, ZoomInfo) to enhance sales operations.
Required Skills & Qualifications:
- 4+ years of experience in CRM administration (HubSpot, Salesforce, or equivalent).
- Experience in a B2B SaaS company.
- Strong knowledge of sales processes, pipeline management, and automation.
- Experience with sales enablement tools and integrations.
- Ability to create and maintain reporting dashboards and analyze sales data.
- Excellent problem-solving and project management skills.
- Basic understanding of SQL, Python, or other data analysis tools.
- Familiarity with revenue operations frameworks and best practices.
Compensation: In addition to other forms of compensation like perks, benefits, and stock options, the salary range for this position is 85,000 – 115,000 USD base per year + commission. The final offer will be determined based on permissible, non-discriminatory factors such as skillset, experience, and geographic location.
Other perks and benefits include:
- Comprehensive medical, dental and vision coverage
- 401(k) plan participation
- Monthly lifestyle allowance to help focus on your wellbeing
- Reimbursements for home office setup, cell/data plan, meal delivery pass
- Generous PTO including annual leaves, personal and sick days and birthday off
What can you expect from the application process?
All applications will be reviewed by the People team who will reach out to shortlisted candidates. Across various interview rounds you'll speak with hiring manager, other functional heads and with our CEO. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. All offers are subject to satisfactory reference and background checks.
Top Skills
What We Do
VisionX is a cutting-edge startup that builds innovative machine vision systems and products that enhance human productivity.
VisionX’s machine vision products and platform power mobile, fixed, and wearables camera to see the world like the human eye. Our solutions empower businesses from startups to Fortune 500 companies understand and interpret visual information from text, images, videos, scan codes and live scenes. The proprietary algorithms and decision systems powering these solutions help our customers draw insights, establish baselines, and deliver real-time alerts and actions to enhance productivity, increase sales, reduce costs, transform experiences and prepare businesses for the future.
