Engineering: Senior Customer Forward Deployed Engineer

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.

About The Role & Team

Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers.

As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs are engineers first who partner closely with Sales, Customer Success, Product, and Engineering to turn customer needs into working software. The right person thrives in ambiguity, learns new domains quickly, and cares as much about the customer's outcome as about technical elegance.

As a Customer Forward Deployed Engineer, you will:

• Own enterprise implementations end-to-end — engage during sales to map customer needs to capabilities, scope implementation plans, and deliver through post-deployment validation with measurable customer outcomes

• Work directly in the product codebase — submit PRs, test, and ship customer-specific solutions without requiring constant oversight; over time, the gap between "what we built" and "what the customer needs" keeps shrinking because you're the one closing it

• Ship early, ship often, and gather feedback — treat every customer interaction as an opportunity to validate your approach and course-correct quickly

• Build reusable patterns and playbooks — when you solve something once, make sure the next person doesn't have to solve it again; identify and document implementation patterns that reduce effort for subsequent engagements

• Feed structured signals back to Product — translate customer pain into actionable product feedback that influences the roadmap; surface gaps so they get fixed rather than hiding them

• Establish an AI-native engineering workflow — AI tools are integral to how you write, test, debug, and deliver code, not an occasional supplement; this is a professional standard, not an optional enhancement

• Proactively identify the right engagements — dictate what you work on, identify accounts that need FDE engagement pre-Sales, and have the judgment to say "no" when the fit isn't right

• Build cross-functional trust — partner with Sales, Customer Success, and Product Engineering as a trusted technical voice in customer conversations and internal planning

• Instrument and measure your impact — track implementation cycle time, customer outcome achievement, pattern reuse rate, and product signal quality to ensure you're shipping changes that actually move the business

You'll be a great addition to the team if you:

• 5+ years of experience, including a track record of owning customer-facing technical engagements end-to-end

• Bachelors Degree 

• Demonstrated ability to architect reusable solutions and mentor other engineers

• Comfortable operating autonomously across 4–6 concurrent customer engagements

• Have hands-on experience shipping software in customer-facing contexts — you've owned or significantly contributed to implementations, integrations, or technical engagements where you delivered working solutions directly to customers or stakeholders

• Are comfortable working in complex codebases you didn't build — you can read, write, and review production code confidently, navigate unfamiliar systems, and submit PRs with appropriate testing and review awareness

• Have fluency with data and integrations — you understand event schemas, data pipelines, APIs, SDKs, and integrations, the building blocks of analytics implementations

• Default to showing, not telling — you reach for prototypes, wireframes, demos, and visual artifacts to communicate technical solutions, not lengthy emails or slide decks

• Operate with high ownership and bias toward action — you don't wait for perfect requirements; you build something, show it, learn from the reaction, and iterate fast; you don't hand off problems, you hand off working solutions

• Communicate clearly with diverse audiences — you can move fluidly between a technical conversation about data pipelines and a business conversation about what metrics matter and why

• Are relentless about getting the customer to value — you take ownership of customer outcomes and drive implementations to completion, removing blockers and finding creative paths forward

• Are curious and fast-learning — you enjoy picking up new domains and applying that knowledge quickly; the fastest way to become a great engineer is to build things that real people depend on, in environments you don't control

• Have familiarity with TypeScript, React, Python, Node.js, and AWS

Our values:

At Amplitude, our values guide how we show up for one another and for our customers:

• Humility: We operate from a place of empathy and openness, seeking to understand many points of view.

• Ownership: We take the initiative to solve problems that drive our shared company success.

• Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others.

• Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.

We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.

Some of our benefit programs include:

• Excellent ​M​edical, ​D​ental and ​V​ision insurance coverages, with 100% employer-paid premiums for employee Medical, ​Dental,​ ​​​​​​​​Vision on select plans

• 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually

• Flexible time off, ​p​aid holidays, and more

• Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more

• Excellent Parental benefits including​:​ 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support

• Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions

• Employee Stock Purchase Program​ (ESPP)

Other fun facts about Amplitude:

• Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.

• We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.

• We invest in our people. We offer mentorship programs, management training, and wellness initiatives.

• We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.

• We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.

• We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.

• Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.

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