Leads technical discovery, solutioning, and integration planning in pre-sales to accelerate deals to technical close. Translates customer needs to Method's API capabilities, builds playbooks, and supports post-sale expansion. Requires 5+ years pre-sales solutioning and strong API experience.
170k – 200k/yr
Hybrid5+ YOESales Engineering
About the role
What You’ll Do
Join high-priority deals early (often call 1–2) as the technical partner to the AE; lead technical discovery and solutioning.
Translate customer architecture, constraints, and goals into a clear proposed approach (integration plan, sequencing, risks, and tradeoffs).
Improve technical sales velocity by tightening the cycle from discovery → solutioning → terms with crisp technical alignment and next steps.
Occasionally support post-sale solutioning and expansion: participate in customer roadmap conversations, propose new use cases, and accelerate adoption.
Build solutions playbooks for Discovery and reference architecture to embed a repeatable solutions motion across pre and post sales.
Create and maintain a lightweight knowledge base / product catalog.
Partner closely with AEs, CS, TIEs, and Product to surface recurring issues, improve enablement, and feed product learnings back into roadmap decisions.
Who You Are
5+ years experience in technical Solutioning in a pre-sales environment.
Strong technical foundation (CS preferred; STEM/engineering/math/physics acceptable with clear technical depth).
Prior experience working with APIs (selling, implementing, supporting, or solutioning).
Demonstrated critical thinking: you consistently get behind the question and give answers that match the underlying need.
Comfortable operating in both pre-sales and post-sales contexts; you can shift between solution design and customer enablement.
High ownership and speed: you ramp quickly, contribute actively on calls, and produce durable assets (playbooks, guides, demos) that reduce future load.
Comfortable in a startup environment with ambiguous processes and evolving org structure.
Extra Awesome
Experience at API-first fintech/infra companies (e.g., Plaid, Stripe) or similarly technical SaaS (observability/data platforms like Datadog).
Experience selling/solutioning into lenders, fintechs, or complex enterprise buyers.
Experience building technical champions within customer orgs and partnering deeply with engineering/product teams.
History of creating technical enablement content and reusable solution frameworks.
Compensation
Annual US base salary range: $170,000 - $200,000.
Leads technical discovery, solutioning, and integration planning in pre-sales to accelerate deals for fintech API platform. Partners with sales to translate customer needs into Method's capabilities, with 5+ years pre-sales experience and strong API background.
170k – 200k/yr
Hybrid5+ YOESales Engineering
Solutions Engineer
Redpanda DataUnited States
Solutions Engineer partners with sales to demo Redpanda streaming platform, builds POCs, prototypes integrations, and addresses technical objections for customers. Requires 3-8+ years experience with infrastructure, streaming tech like Kafka, and cloud providers.
169k – 198k/yr
Remote3+ YOESales Engineering
Solutions Engineer, Core Digital Native
OpenAISan Francisco, CA +1
Solutions Engineer partners with Digital Native customers to guide AI strategy, demonstrate OpenAI product value through demos and prototypes, and provide technical pre-sales support. Requires 4+ years pre-sales experience, Python/JavaScript knowledge, and AI/ML prototyping skills.
174k – 245k/yr
Hybrid4+ YOESales Engineering
Solutions Engineering Manager, West
CriblWashington
Lead and mentor a team of Solutions Engineers in the Western US to support enterprise pre-sales activities, drive revenue through land-and-expand plays, deliver technical presentations, and build customer champions for Cribl's telemetry platform.
165k – 200k/yr
Remote5+ YOESales Engineering
Solutions Consultant
PermitflowNew York, NY
Partners with sales to design custom workflows, scope integrations like ServiceTitan and Salesforce, and deliver demos for enterprise construction clients. Requires deep construction domain expertise and technical translation skills for successful implementations.