Sales Engineer

Trestle; Bellevue, Northern (WA, KY); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive Pay

Health & Wellness

Future-Proofing

Rest & Recharge

Team Connection

The Office Experience

Hybrid Schedule

Job summary

Trestle in Bellevue, WA, is seeking a Sales/Solution Engineer to bridge sales, success, and product teams. You will apply your technical expertise to help prospects understand the value of our identity data solutions and work with product teams to analyze data sets for better coverage and efficacy.

You will design POCs, provide technical support from sale through implementation, and deliver data-driven storytelling to varied audiences.

Qualifications

• 3–5 years of experience in sales engineering or similar technical roles.
• Strong data analysis skills using SQL, Python, and Excel.
• Knowledge of data concepts, pipelines, APIs, and cloud technologies (AWS/Azure/GCP).
• Experience with ML concepts and statistical modeling is a plus.

Responsibilities

• Design and execute data-driven POCs to show value of identity data solutions.
• Collaborate with product to analyze data sets and shape the roadmap.
• Troubleshoot and debug issues during POC projects for customers.
• Support customer success with onboarding and ongoing guidance.
• Deliver data-driven presentations to diverse audiences.
• Conduct compelling product demonstrations and respond to technical questions.

Skills

Sales engineering experience

Data analysis

SQL

Python

Excel

Cloud technologies (AWS/Azure/GCP)

Job description

As a Sales/Solution Engineer at Trestle, you'll be a vital link between our sales, customer success, and product teams. You will use your technical expertise to help prospects and customers understand the value of our identity data solutions. You will also partner closely with the product teams to analyze different data sets that can help improve the coverage and efficacy of the identity data products from Trestle. Your responsibilities will include conducting in-depth data analyses, developing proof of concepts (POCs), and providing technical support to ensure customer success from the initial sale through implementation and beyond.

We invest heavily in our team’s growth and happiness:

• Competitive Pay : $80,000–$120,000 base + meaningful equity participation
• Health & Wellness : Comprehensive medical, dental, and vision coverage
• Future-Proofing : Easy-to-manage 401(k) plan with diverse investment options
• Rest & Recharge : Flexible PTO policy. We trust you to take the time you need
• Team Connection : Team offsites and regular social events
• The Office Experience : A stocked kitchen with snacks and drinks; close to public transit, including the newly-opened Line 2 light rail
• Hybrid Schedule: Flexible, work-from-home Fridays

What You'll Do

Key Responsibilities

• Proof-of-Concept (POC) and Data Testing: Design and execute data-driven POCs to demonstrate how our identity data solutions can solve a customer’s specific business challenges. This involves analyzing customer data, using our solution to generate insights, and presenting the findings.
• Product and Data Set Analysis: Collaborate closely with the product team to analyze various data sets and contribute to the design and development of new data solutions. You will provide valuable market feedback and technical insights to help shape our product roadmap.
• Technical Problem-Solving and Debugging: Act as the primary technical point of contact for customers, troubleshooting and debugging issues that arise during POCs. Ability to understand needs of its technical product portfolio, relate them to customer pain points and use various statistical approaches to identify opportunities to improve and build the product.
• Customer Success Engineering: Partner with the customer success team to ensure smooth onboarding and ongoing success. Provide technical guidance, conduct training, and help customers optimize their use of our data solutions. Analyze log data and other technical information to identify and resolve problems.
• Data-Driven Storytelling: Design and deliver compelling, data-driven presentations to a variety of customer audiences, from technical experts to business executives. You'll act as a storyteller, translating complex data analysis and POC results into a clear narrative that demonstrates the tangible business value and insights our solution provides.
• Sales and Technical Support: Conduct compelling product demonstrations, answer in-depth technical questions, and serve as the subject matter expert on our platform’s capabilities and integrations.

What We're Looking For

Required Qualifications

• 3-5 years of experience in sales engineering, solutions engineering, or a similar technical role, preferably within the B2B SaaS or data industry.
• Strong proficiency in data analysis, with experience using tools such as SQL, Python, and Excel to manipulate, analyze, and visualize data.
• A deep understanding of data concepts, including data pipelines, APIs, and cloud technologies (AWS, Azure, or GCP). Experience with analyzing log data and debugging technical issues is essential.
• Experience with basic machine learning concepts and statistical modeling, particularly regression models, is a strong plus. While not a core requirement, a foundational understanding of these techniques will help you identify additional value for customers and collaborate more effectively with our product and data science teams.
• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Exceptional analytical and problem‑solving skills, with a knack for understanding a customer's business challenges and translating them into data‑driven solutions.

We encourage you to apply even if you don’t meet every qualification. If this role excites you, we want to hear from you.

About Trestle

Trestle is a technology company based in Bellevue, WA, building the next generation of identity data products. Our APIs help businesses across industries (from contact centers and financial services to insurance and lead generation) improve customer onboarding, lead management, and call operations through accurate validation, verification, and enrichment. Enterprise customers like Twilio, ActiveProspect, and Best Buy trust us to handle 500M+ queries per month.

Our founders bring deep identity data expertise, having helped grow a startup to an $850M acquisition. Today, Trestle is profitable with over a thousand business customers and massive growth potential, backed by top investors and entrepreneurs with decades of experience building industry‑leading technology companies.

Our mission is to make identity data accessible, accurate, and actionable for every business. We’re guided by our core values:

• Customer First : Doing right by our customers guides every decision we make. We prioritize responsiveness, build genuine trust, and invest in relationships that endure.
• Growth Mindset : We invest in people who want to grow. We’re committed to hiring individuals eager to push beyond their comfort zone, even if their experience isn’t traditional.
• One Team : We succeed together. With our flat organizational structure and collaborative culture, supporting colleagues happens naturally.
• Figure It Out : We thrive in ambiguity. We embrace new challenges head‑on and relentlessly find solutions, even when the path forward isn’t clear.
• Incremental Innovation : We believe small improvements compound into transformative change. Our innovation is steady, thoughtful, and ongoing, driven by continuous experimentation and iterative learning.

We love meeting talent from all over the world, but at this time, Trestle is unable to provide visa sponsorship for this role. To be considered, candidates must be currently authorized to work in the U.S. on a full‑time basis.

Trestle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.