Amplitude

Senior Sales Engineer- Enterprise

Rol remoto de Solutions Consulting con fit claro de ubicación del candidato.

PublicadoAgregado recientemente

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR
Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation
Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases
Handle technical objections related to data architecture, privacy/compliance, and integration complexity
Present to C-level executives and translate technical capabilities into ROI narratives

Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity
Work with Customer Success to ensure smooth handoffs and technical alignment during implementation
Mentor junior SEs on technical positioning and demo best practices

Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel
Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team

5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles)
You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R)
Hands-on SQL experience: you can write joins, aggregations, and window functions to analyze behavioral data
Track record of closing technical evaluations in competitive enterprise deals
Comfort presenting technical concepts to both engineers and business stakeholders

2+ years working specifically with product analytics, experimentation platforms, or customer data platforms
Experience with event-based data models and understanding of tracking implementations
Familiarity with BI tools (Tableau, Looker, Power BI) and how analytics platforms integrate with them
Previous work in SaaS companies selling to Product, Growth, or Marketing teams
Understanding of regional data and data privacy implications for analytics tools

First 90 days: Ramp on Amplitude's platform, complete 3+ customer-facing demos, and contribute to 2 proof-of-concepts
First year: Influence closed-won ARR, maintain 70%+ technical win rate, and develop 2 reusable assets for the team

Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
Flexible time off, paid 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), home office equipment (annual), and much more
Excellent Parental benefits including: 12-20 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 and high quality physician office experience via One Medical membership (select U.S. locations only)
Employee Stock Purchase Program (ESPP)

We were recognized in the Newsweek Excellence Index 2024.
Our customers love us! They've said we're the #1 product analytics solution for 19 quarters in a row on G2.
We care A LOT about product innovation. Fast Company called us the #3 most innovative enterprise company in the world.
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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