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Sales Engineer

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Sift
Full Time position Listed on 2026-11-07
Job specializations:
  • Sales
    Sales Engineer, Technical Sales
  • IT/Tech
    Sales Engineer, Technical Sales
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR

Job Description & How to Apply Below

Описание

Sift is looking for an experienced Senior Sales Engineer to help enterprise and mid-market customers evaluate and adopt our Digital Trust platform. In this role, you will partner closely with Enterprise Account Executives to lead the technical side of complex sales cycles, from discovery and solution design through solution presentations, evaluations, and technical validation. You will work with some of the world’s largest and fastest-growing digital businesses to understand their fraud, risk, and trust challenges, translate those challenges into solution strategies, and show how Sift can deliver measurable business value.

You will engage both technical buyers and executive stakeholders, helping prospects move from technical interest to buying confidence. This is a high-impact role for someone who enjoys combining technical depth, customer-facing communication, and commercial thinking. Our Sales Engineering team is made up of creative, technical problem solvers who partner with prospects to understand complex digital trust challenges and design practical, high-value solutions.

We work cross-functionally across Sales, Product, Marketing, and Customer teams, and we play an important role in shaping how Sift goes to market. Senior Sales Engineers at Sift are trusted advisors internally and externally. They bring the voice of the customer into the business, influence product direction through market feedback, and help raise the bar for how we sell, position, and deliver value.

Задачи
  • Partner with Enterprise Account Executives to drive complex technical sales cycles with strategic accounts
  • Lead technical discovery and workshops to understand a prospect’s architecture, workflows, fraud challenges, and business goals
  • Design and deliver compelling solution presentations and solution narratives tailored to both technical and business audiences
  • Guide prospects through technical validation, integrations, and proof of value engagements
  • Translate complex product capabilities into clear customer outcomes and measurable business value
  • Build credibility with engineers, fraud leaders, operations teams, and executive stakeholders
  • Surface market feedback and customer requirements to help influence Sift’s product roadmap
  • Improve internal tooling, knowledge sharing, and repeatable presales processes that make the broader go-to-market team more effective
  • Earn trust quickly with both technical teams and executive buyers
  • Turn ambiguous customer problems into clear technical solution strategies
  • Help prospects move faster through evaluation by making Sift easy to understand, validate, and buy
  • Raise the quality and consistency of technical selling across the team
  • Bring actionable market insight back into the business to improve product and positioning
Требования

Must-haves
  • 5+ years of experience in a Sales Engineer customer-facing technical role
  • Experience supporting complex enterprise SaaS sales cycles
  • Strong technical foundation, ideally including APIs, integrations, and data-driven or analytics-oriented platforms
  • Excellent communication and presentation skills, with the ability to explain complex technical and business concepts to both technical and non-technical audiences
  • Ability to work effectively across multiple stakeholders and concurrent opportunities
  • Comfortable using Python or a similar language for demonstrating API usage
  • Self-starter mindset with strong judgment, curiosity, and a bias toward action
Nice-to-haves
  • Experience in fraud, payments, risk, trust & safety, or adjacent problem spaces
  • Experience running POVs, pilots, or technical evaluations for AI/ML-driven products
  • Familiarity with applied machine learning concepts and an interest in emerging AI trends
  • Experience building internal automations, tools, or…
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