Sift

Senior Sales Engineer

Remote US
Python Java Ruby SQL Machine Learning
Description

What We're Looking For:

Sift is looking for an experienced, results-oriented Sales Engineer to join our growing presales team and enterprise segment to iterate on our go-to-market strategy from a technical lens. In this role, you will support and work closely with our team of Enterprise Account Executives who drive distribution of our industry-leading fraud solution to the largest and fastest-growing businesses in the world while bringing a cross-functional B2B sales approach that focuses on demonstrating value to business/technical buyers, all the way up to C-Suite. 

About the team:

The Sales Engineering team is composed of creative, technical problem solvers. The team partners with prospects to understand their Digital Trust challenges, architect solutions, and onboard them to the Sift platform driving tangible business value to online business throughout the globe across all major industries.

Sales Engineers are subject matter experts who have deep mastery of the Sift product suite and underlying machine learning technology representing the voice of the customer, both internally and externally. We deliver immediate impact for prospects, while paving the way for future customers by working closely with product managers to stay ahead of the market and move toward emerging digital fraud trends.

What you’ll do:

  • Evangelize the Sift platform: Build trust with a prospect’s technical teams, by thoroughly demonstrating how the Sift technology works and provides value.

  • Simplify complex businesses: Work with Sift’s largest prospects to identify critical problems and unlock opportunities through bespoke product integrations.

  • Enable the organization: Develop internal knowledge, tooling, and process to eliminate friction and standardize Sift’s go-to-market strategy, making our sales cycle more efficient.

  • Influence the product road map: Analyze market feedback from enterprise prospects to lead Sift towards product-market-fit, informing where functionality and partnerships should be developed.

What would make you a strong fit:

A drive and passion for technical sales and working with customers; ideally you are ambitious, self-motivated, and have experience with SaaS-based analytics or data management platforms. 

  • 5+ years experience working as a Sales Engineer in a technical sales cycle.

  • A strong technical background; preferred in fields such as: Computer Science, Engineering, Mathematics, Physics, or similar field.

  • Outstanding customer-facing communication skills, including the ability to communicate complex technical and business concepts to both developers and non-developers.

  • A strong work ethic​ and commitment to excellence. Being creative, ​collaborative, goal-oriented, ​thoughtful, and resourceful​.

  • A bias for action. Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.

  • Ability to work effectively in teams of technical and non-technical individuals across multiple concurrent projects.

  • Proficiency with programming languages such as Python, Java, Ruby, or similar languages, and familiarity with API-based SaaS products.

  • Experience with web servers and common databases used in today’s application architectures. Able to read and write SQL.

  • A desire to learn about ML fundamentals and stay on top of the latest trends in applied AI.

Bonus Points For:

  • Experience in Payment and/or Fraud space.

A little about us:

Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Zillow and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

  • Competitive total compensation package

  • 401k plan

  • Medical, dental and vision coverage

  • Wellness reimbursement

  • Education reimbursement

  • Flexible time off

Sift
Sift
Analytics Big Data Fraud Detection Network Security Predictive Analytics

0 applies

1 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say