Senior Product Marketing Manager

Company:  Sift
Location: San Francisco
Closing Date: 09/11/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

About the Team:

Sift is on a mission to help everyone trust the internet. Fraudsters and businesses are in a race for the customers wallet, and the Sift Digital Trust & Safety platform protects every online transaction. The Product Marketing organization’s mission is simple: Know the Customer. Know the Product. Connect the Two.

Product Marketing Management bridges the gap between Product and essentially everyone else. This team member will work closely with Product Management, Marketing, Finance, Sales, and Customer Success to create and execute strategy for the account security line of business and own the pricing strategy for the Sift book of business.

What We’re Looking For:

The ideal candidate for this position understands the fraud landscape and can be an evangelist to prospects and customers, and a support to Finance and the Deal Desk. Be ready to set the product strategy, build the product narrative, enable sellers, and pitch to prospects. Have the technical skills to build pricing models and product demos and the charisma to deliver on stage at events. If this sounds like you, keep reading…

What you’ll do:

  1. Develop and maintain product positioning and messaging that resonates with the target buyer personas by translating technical details into customer features and benefits.
  2. Partner with Product Management to understand the value of product features and benefits and provide feedback and insights for roadmap plans.
  3. Create and execute marketing plans that drive awareness, engagement, and product adoption.
  4. Educate both internal and external stakeholders on our product features and their benefits.
  5. Create marketing collateral (e.g., datasheets, product videos) that articulate the product value and its benefits.
  6. Develop and maintain sales enablement materials, including pitch decks, battlecards, cheat sheets, customer references, etc., that align with the buying process and help move prospects & customers through the sales cycle.
  7. Plan for feature launches and manage the cross-functional implementation.

What would make you a strong fit:

  1. 6+ years of product marketing experience in B2B SaaS or Enterprise software.
  2. Experience managing strategy and GTM efforts for a product/product line.
  3. Strong visual and verbal storytelling skills.
  4. Technical background with the ability to build and deliver demos.
  5. Experience launching SaaS products in ML, identity, and/or security domains.
  6. Curiosity, creativity, and a strong ability to distill complexity into crisp, easily comprehensible messaging.

Bonus points:

  1. Experience in online fraud detection and prevention.
  2. MBA.

Benefits and Perks:

  1. Competitive total compensation package.
  2. 401k plan.
  3. Medical, dental, and vision coverage.
  4. Wellness reimbursement.
  5. Education reimbursement.
  6. Flexible time off.

A little about us:

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

Let’s Build It Together

At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet.

This document provides transparency around the way in which Sift handles personal data of job applicants:

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