Amplitude is the leading AI analytics platform, helping over 5,200 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 amplitude.com.

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.

As an Amplitude Lead Sales Engineer, Strategic Accounts, you will help lead our prospects and customers to understand the power of the Amplitude platform to transform their digital product experiences, experiment on their digital properties and retarget their customers. You’ll have the opportunity to meet with Product and Marketing leaders, Analytics owners, Engineering teams from some of the most exciting brands on the planet. You will help drive business and technical discovery sessions, and lead winning proofs of concept and creatively position Amplitude’s value in the context of their business. You’ll be the face of Amplitude to some of the world’s most interesting and innovative businesses.

Lead Sales Engineer, Strategic Accounts are the voice of the market internally at Amplitude. Successful candidates must demonstrate a track record of developing and maintaining relationships with technical stakeholders both internally and externally.

It’s a rewarding job where you will have a direct influence on our revenue and growth trajectory. Successful candidates will need to demonstrate that they live the Amplitude values of humility, ownership and a growth mindset. They will also need to concretely demonstrate their technical acumen.

As a Lead Sales Engineer, Strategic Accounts (SE), you will

Develop deep and lasting relationships with technical stakeholders at some of Amplitude’s largest customers and prospects

Function as subject matter expert on Amplitude’s suite of products including product analytics, experimentation and audiences

Couple your product expertise and competitive knowledge with your strong sales acumen to proactively and accurately identify pain and decision criteria and define the appropriate solution tied to tied to the desired business outcomes

Own the development of custom presentations, demonstrations, and prototypes of Amplitude’s solution, leveraging AI tools where appropriate while independently validating technical accuracy to articulate use-cases and value to prospective customers across all verticals to secure the technical win

Work closely in your day to day with account executives, product managers, product development, and customer success to ensure a seamless buying experience for our potential customers

Support trial periods with potential customers to ensure they are effectively learning and engaging with the platform

Become an in-house expert in Amplitude’s product and stay up-to-date on product releases and new features, assist in training new SE team hires, and other Sales team members

Document and communicate product feedback and new requirements from the field back to our product management team to help drive our roadmap

As needed, travel to customer on-sites to deliver demos and presentations to build strong customer relationships

You'll be a great addition to the team if

You have 7 years+ (Seven years or more) of software pre-sales / sales engineering experience

You are eager to raise the bar for Solutions / Sales Engineering at Amplitude

You have a history of developing and deepening relationships with your customers

You want to work with other high performers

You demonstrate strong technical acumen and practical AI fluency, with hands-on experience using AI tools in everyday sales engineering workflows. You can critically validate AI outputs, protect sensitive customer information, and explain AI capabilities, limitations, and enterprise considerations to technical stakeholders and executives.