6+ years in a pre-sales solutions or sales engineering role for technical products
Proven success in securing complex multi-stakeholder deals with enterprise clients
Deep understanding of modern web services, mobile apps, and cloud infrastructures like AWS and GCP
Experienced in ETL/ELT processes, data pipeline design, and API integration
Skilled in communicating intricate technical concepts to diverse stakeholder roles
Able to manage multiple opportunities and contexts simultaneously.
Responsibilities
Own the technical workstream from initial contact to contract signing and Customer Success handoff
Conduct technical discovery to assess prospects' data architecture and align solutions
Design and deliver customized proofs of concept and demos based on client needs
Facilitate architecture discussions around governance, identity resolution, and data processing
Manage security reviews and technical due diligence during the sales process
Develop expertise in the customer data landscape and RudderStack's competitive position
Act as a trusted advisor to influence customer data strategies beyond product queries
Capture field insights to inform product development and strategic direction.
Benefits
Remote work flexibility available throughout the US
Collaborative environment with a focus on customer service and community
Opportunity to work with complex and innovative data solutions
Engagement with a knowledgeable team of engineers passionate about data.
Chance to influence product directions based on customer interactions.
Full Job Description
About the role
We're looking for a Senior Sales Engineer who can sit across the table from an engineering leader, understand the customer data problem they're actually trying to solve, and show them how RudderStack solves it.
This is a pre-sales role. You'll own the technical relationship during the evaluation, running discovery, designing and delivering proofs of concept, navigating security and architecture reviews, and building the technical case that wins the deal. You'll work alongside Account Executives on our largest and most complex opportunities, and you'll hand off to Customer Success once the customer is live.
You'd be joining a team of engineers who care about data, about the community around it, and about making life easier for the people who use our product. We care deeply about our customers, and we judge ourselves on how well we serve them. *Our roles are remote first, and can be based anywhere in the US (#LI-Remote).
What you'll do
Own the technical workstream on new business and expansion opportunities, from first technical call through to signed contract and handoff to Customer Success.
Run technical discovery to understand a prospect's current stack, data architecture, and the business outcomes they're trying to reach, then map those to a concrete RudderStack solution.
Design, build, and deliver proofs of concept and demos tailored to the customer's actual use case, not a canned script.
Lead architecture conversations on data governance, identity resolution, customer 360, and warehouse design, and defend those designs to technical buyers.
Navigate security reviews, RFPs, and technical due diligence alongside the account team.
Develop deep subject matter expertise on the customer data landscape and RudderStack's role within it.
Act as a trusted advisor who can influence a prospect's customer data strategy, not just answer questions about our product.
Bring the field's perspective back inside by surfacing patterns from prospect conversations to shape product direction and roadmap priorities.
Create technical content that scales your expertise beyond the deals you personally work.
Qualifications
6+ years in a pre-sales solutions or sales engineering role, supporting technical products sold to technical buyers.
A track record of owning the technical win on complex, multi-stakeholder deals with enterprise customers.
Strong understanding of how modern web services and mobile apps are built, and the cloud infrastructure behind them (AWS, GCP, Azure, Snowflake, Databricks, BigQuery).
Professional experience in several of: ETL/ELT concepts and workflows, data pipeline design, message queuing patterns, API design and integration, web or mobile development, technical consulting.
The ability to explain a hard technical concept to an engineer, a product manager, and a growth marketer, and have all three walk away with what they needed.
Comfort switching context quickly across multiple active opportunities.
Bonus Points:
You've built and shipped websites or mobile apps, or worked hands-on with ETL and data pipelines.
You've been a DBA, or have strong SQL and dbt experience.
You've worked in marketing or advertising technology and know firsthand where customer data breaks down.
You've worked with data analytics, data science, or AI/ML, particularly anything involving getting warehouse data into AI applications.
You have a habit of taking things apart to understand how they work under the hood.
