Principal Renewals Manager

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, AI, BiotechnologyIndustries

Requirements

Candidates must have 5 to 7 years of experience in enterprise SaaS renewals, account management, or a related field, with a background in commercial negotiations and account management. Proficiency in revenue technologies and the ability to manage a book of business are essential. A customer-first mindset, confidence in SaaS contracting discussions, excellent communication skills for engaging executive stakeholders, and the ability to manage multiple priorities under pressure are required. Experience with data-driven approaches, cross-functional relationship building, subscription-based business models, and fast-paced SaaS environments are advantageous.

Responsibilities

The Principal Renewals Manager will maximize retention rate, Net New Annual Recurring Revenue (NNARR), and On-Time Renewal (OTR) by managing customer renewals and driving engagement within the renewal framework. Responsibilities include analyzing renewal data to develop strategies, partnering with revenue and customer teams to address risks and identify opportunities, supporting at-risk customers, leading contract renewal negotiations, evaluating license usage, processing true-up requirements, and providing accurate renewal forecasts. The role also involves contributing to renewal process improvements, refining policies, workflows, and tools for scalability.

Skills

Enterprise SaaS Renewals

Account Management

Customer Retention

Negotiation

Forecasting

Data Analysis

Customer Success

SaaS

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters

2013Year Founded

$823.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.

High costs of generative AI initiatives could strain client budgets.

Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.

The company integrates with AWS, enhancing connectivity and scalability for clients.

Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.

Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.

Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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