Engineering: Staff Customer Forward Deployed Engineer

• 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:

• Have 7+ years of experience, including a track record of owning customer-facing technical engagements end-to-end
• Have demonstrated ability to architect reusable solutions and mentor other engineers
• Are 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

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