Senior Sales Engineer - Enterprise

<div class="content-intro"><p>Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at <a href="http://amplitude.com">amplitude.com</a>.</p> <p>As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.</p> <p><strong>Amplitude’s Commitment to Diversity Equity &amp; Inclusion (DEI): </strong>Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.</p></div><p>As a <strong>Senior Sales Engineer</strong> at Amplitude, you'll be the technical quarterback for our most strategic opportunities. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders.</p> <p>You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline.</p> <h3>What You'll Do</h3> <p><strong>Deal Execution (70% of time)</strong></p> <ul> <li>Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR</li> <li>Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation</li> <li>Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases</li> <li>Handle technical objections related to data architecture, privacy/compliance, and integration complexity</li> <li>Present to C-level executives and translate technical capabilities into ROI narratives</li> </ul> <p><strong>Internal Collaboration (20% of time)</strong></p> <ul> <li>Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity</li> <li>Work with Customer Success to ensure smooth handoffs and technical alignment during implementation</li> <li>Mentor junior SEs on technical positioning and demo best practices</li> </ul> <p><strong>Thought Leadership (10% of time)</strong></p> <ul> <li>Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel</li> <li>Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team</li> </ul> <h3>What We're Looking For</h3> <p><strong>Required</strong></p> <ul> <li>5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles)</li> <li>You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R)</li> <li>Hands-on SQL experience: you can write joins, aggregations, and window functions to analyze behavioral data</li> <li>Track record of closing technical evaluations in competitive enterprise deals</li> <li>Comfort presenting technical concepts to both engineers and business stakeholders</li> </ul> <p><strong>Strongly Preferred</strong></p> <ul> <li>2+ years working specifically with product analytics, experimentation platforms, or customer data platforms</li> <li>Experience with event-based data models and understanding of tracking implementations</li> <li>Familiarity with BI tools (Tableau, Looker, Power BI) and how analytics platforms integrate with them</li> <li>Previous work in SaaS companies selling to Product, Growth, or Marketing teams</li> <li>Understanding of regional data and data privacy implications for analytics tools</li> </ul> <h3>What Success Looks Like</h3> <ul&gt