Lead Sales Engineer
Job Description
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The Role
Lead Triple Whale's Sales Engineering team while still carrying your own deals. You'll manage three SEs — coaching, call reviews, development — and personally own the hardest technical opportunities in the team's book. Roughly half your time in the field, half leading the team.
What You'll Do
- Run technical discovery, POCs, and demos on your own deals — typically the largest and most competitively contested.
- Take escalations from the team on technical and competitive objections they can't close out.
- Coach three SEs: recurring 1:1s, structured call reviews against our frameworks, and a clear development plan for each.
- Define and document how SE works here: when an SE engages a deal, what a POC requires to start and what "passed" means, discovery standards before a demo, and what a clean handoff to Solutions Architecture contains.
- Hire and ramp SEs as the team grows.
- Own the accuracy of what your team promises pre-sale. Solutions Architecture has to build it.
What Success Looks Like
- Conversion through the technical evaluation stage, on your deals and across the team.
- Shorter cycle times on SE-supported deals.
- What gets promised pre-close holds up post-close.
- A documented SE process the whole team actually follows.
- Three SEs measurably better than when you started.
Requirements
- 6+ years in sales engineering, solutions consulting, or a similar technical pre-sales role.
- Experience coaching or mentoring other SEs — formal management title not required, but you need to have raised someone else's game before.
- Track record of building process, not just following it: POC criteria, discovery standards, handoff requirements, review cadences you put in place that stuck.
- Working SQL fluency.
- Hands-on experience with marketing attribution — pixel-based, multi-touch, or MMM.
- Comfortable telling a customer we haven't built something, and telling a rep their deal isn't as strong as they think.
- Based in the New York City area.
Nice to Have
- E-commerce or DTC background — MER, CAC, contribution margin, payback.
- Competitive experience.
- Shopify ecosystem depth, including headless or non-Shopify implementations.
- Formal people-management experience.
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Triple Whale
View Company ProfileTriple Whale is the premier, enterprise-grade data centralization and marketing attribution powerhouse engineered to operate as the definitive AI-native operating system for Shopify and direct-to-consumer (DTC) brands. Operating as the mission-critical "data infrastructure layer" for the modern e-commerce economy, the company eliminates the severe operational friction caused by fragmented ad network dashboards, post-iOS 14 tracking degradation, and disconnected financial silos by seamlessly deploying an advanced multi-channel attribution engine, zero-party pixel tracking telemetry, and real-time profitability tracking frameworks. Moving far beyond traditional legacy analytics tools or static spreadsheet models, Triple Whale empowers e-commerce founders, digital marketers, and enterprise retail groups to dynamically synchronize their ad spend optimization, customer lifetime value (LTV) cohorts, and media buying pipelines with elite, scalable, and audit-ready precision. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by AI-driven predictive insights (Moby), automated creative testing tracking, and deep domain expertise in first-party data collection—natively orchestrates complex marketing mix modeling (MMM), cohort retention analytics, and unified net profit reporting. What sets Triple Whale apart is its uncompromising dedication to frictionless operational intelligence; by bridging the gap between performance-intensive, high-velocity data engineering and accessible, single-source-of-truth executive interfaces, the firm enables modern commercial brands to radically accelerate their growth velocity, eliminate systemic attribution bottlenecks, and build an unassailable foundation for continuous commercial scaling in the modern, AI-transformed global-commerce landscape.
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