Sift

Manager, Revenue Operations

United States

$131,400 – $177,700Compensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Revenue Operations, Sales OperationsIndustries

Position Overview

  • Location Type: Remote
  • Job Type: FullTime
  • Salary: $131.4K - $177.7K

The Revenue Operations team is pivotal to the efficiency and success of our go-to-market operations. Reporting to the Senior Director of Revenue Operations, the Manager of Revenue Operations will serve as both a leader and hands-on contributor, ensuring seamless collaboration and exceptional performance within the team. This individual will directly manage a talented group of professionals, including a Systems Administrator, a Senior Analyst, and a Partner Operations Analyst, driving operational excellence and business growth. The position demands close partnership with key stakeholders across sales, SDR, marketing, marketing operations, business intelligence, customer success, enablement, deal desk, and finance, fostering a cohesive and integrated approach to our revenue-generating activities. Together, we strive to optimize processes, inform strategic decisions, and propel our organization toward its ambitious goals.

Requirements

  • Bachelor’s degree in Business, Finance, or a related field.
  • 7+ years of experience in revenue operations or sales operations within a B2B SaaS environment.
  • 2+ years of direct management experience.
  • Hands-on experience with Salesforce, Outreach, Gong, Zoominfo, Leandata, Conga, Spiff, and Docusign or similar tools.
  • Deep familiarity with Salesforce is non-negotiable.
  • Proven track record of process improvement and driving operational efficiency.
  • Strong analytical skills.

Responsibilities

  • Process Improvement: Continuously identify areas for improvement within the GTM team’s processes and implement effective solutions to enhance efficiency and effectiveness.
  • GTM Tech Stack Ownership: Maintain full ownership of the GTM tech stack, including Salesforce, Outreach, Gong, Zoominfo, Leandata, Conga, Spiff, and Docusign. Ensure these tools are fully leveraged to support our revenue goals.
  • Design of KPIs/Performance Metrics: Develop and design key performance indicators (KPIs) and performance metrics for GTM teams to drive accountability, performance, and improvement.
  • Data-Driven Decision Making: Leverage data analysis to inform strategic decisions, drive action, and continuously improve revenue-related processes.
  • Forecasting: Develop and manage forecasting models to provide accurate and actionable pipeline and revenue predictions. Work closely with sales leadership, customer success, deal desk, and finance to refine forecasts and drive business planning, ensuring accuracy and alignment with business objectives.
  • Compensation Design: Design effective compensation plans and incentives to motivate and reward GTM teams for achieving their goals. Ensure alignment with company objectives and market standards.
  • Territory Design: Develop and implement territory design strategies to maximize sales coverage and revenue potential. Aid customer success in book of business design and defining coverage strategies to maximize customer retention.

Company Information

  • Note: Company information is not provided in the job description.

Skills

Salesforce
Outreach
Gong
Zoominfo
Leandata
Conga
Spiff
Docusign
Process Improvement
Analytical Skills

Sift

Real-time fraud detection and prevention platform

About Sift

Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.

Bristol, United KingdomHeadquarters
2011Year Founded
$4.4MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.
Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.
Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.
The company uses machine learning and AI to analyze vast amounts of data effectively.
Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.
Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.
Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

Land your dream remote job 3x faster with AI