SaaS Implementation Manager
VetcoveSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software Development, Data AnnotationIndustries
Requirements
Candidates should possess a Bachelor's degree in Accounting, Finance, or a related field, coupled with over 5 years of experience in Accounts Receivable, including at least 2 years in a managerial capacity. A strong understanding of SaaS billing models and proficiency in accounting and billing tools like NetSuite, Chargebee, or Stripe are essential. Exceptional attention to detail, strong organizational and communication skills, and a proven ability to enhance A/R operations are also required.
Responsibilities
The Accounts Receivable Manager will oversee the entire accounts receivable lifecycle, including billing, collections, cash application, dispute resolution, and reporting, ensuring timely and accurate invoicing for SaaS contracts. This role involves managing A/R aging reports, proactively handling collections, resolving customer billing issues, and supporting global revenue recognition. The manager will also collaborate with cross-functional teams on contract terms and billing strategies, optimize A/R processes and tools, provide regular performance reporting, ensure audit readiness, and manage, mentor, and develop a team of A/R professionals.
Skills
Accounts Receivable
Order-to-Cash Cycle
Invoicing
Collections
Financial Reporting
Process Improvement
Team Leadership
Labelbox
Provides data labeling solutions for AI
About Labelbox
Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$183.7MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Benefits
Competitive remuneration
Flexible vacation policy (we don't count PTO Days)
401k Program
College savings account
HSA
Daily lunches paid for by the company (especially convenient while working from home)
Virtual wellness and guided meditation programs
Dog-friendly office
Regular company social events (happy hours, off-sites)
Professional development benefits and resources
Remote friendly (we hire in-office and remote employees)
Risks
Competition from Google's Gemini platform may attract potential Labelbox clients.
Rapid AI advancements by tech giants could outpace Labelbox's current offerings.
Reliance on partnerships like Google Cloud poses risks if these change or dissolve.
Differentiation
Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
The platform supports complex NLP use cases, attracting tech and communication sectors.
Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.
Upsides
Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.
Auto-computed metrics reduce error correction time and improve model performance.
Opening a London office facilitates European market expansion and better client service.
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