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Would you like to be part of a rapidly growing and dynamic start-up focused on delivering leading-edge solutions in the areas of Digital Transformation, Cloud Migration, Database Modernization, and Test Data Management? Do you have the personal drive, leadership skills, and technical background necessary to help establish K2View as a leader in data management?
As a Presales Engineer, you will have “hands-on” involvement in al...
As one of the earliest GTM hires at Inngest, you’ll own end-to-end technical engagement with prospective customers — from discovery through proof-of-concept to deal close. You’ll combine some of the responsibilities of a solutions engineer, technical account executive, and customer advocate.
You’ll be working closely with engineering, product, marketing, and customer success to drive early revenue, validate use cases, and scale the sales motion. Our marketing team has scaled to help support you in this role, and you'll be helping customers use one of their most loved technical products.
This is a high-leverage, high-autonomy role. You’ll define how we land technical deals, shape the feedback loop into product, and build out customer-facing materials and patterns for scale.
What you’ll do
Alongside the founders, you'll own part of the sales & GTM pipeline, and help customers with their technical questions and architecture. Some examples of what you'll focus on:
Own and drive a pipeline of technically sophisticated enterprise / mid-market accounts
Lead technical discovery conversations, deeply understand customer architecture, constraints, and decision processes
Partner with founders and marketing to craft compelling ROI/technical proposals and solution sell stories
Lead or support proof-of-concept (POC) engagements: design, architecture review, benchmarks, integrations
Influence procurement, legal, security, and IT stakeholders on technical due diligence
Act as the technical voice in sales cycles, fielding architecture questions, performance, scale, security concerns
Alongside dev/rel and our content engineers, help build or influence reusable artifacts (demos, templates, solution guides, reference code) that scale across deals
Work with product & engineering to triage feedback, prioritize features, and shape our roadmap based on customer needs
Who you are
Previous experience working at a Seed or Series A company
4+ years hands-on experience in a product-led growth selling motion as a pre-sales, solutions engineering, systems engineering, or technical AE role
Comfortable with code, APIs, SDKs, integrations, architecture reviews (you might need to dig into TypeScript, Python, Golang, or cloud infra)
Experience working with developer or infrastructure platforms, event-driven architectures, data pipelines, or backend systems
Excellent communication skills — able to translate technical nuance into business value and ROI stories
Empathy for developers and a strong sense of developer experience
Self-starter mindset — comfortable in ambiguity and creating process where none exists
Ability to work remotely with alignment across timezones; ideally overlapping U.S. business hours
What Success Looks Like (First 3-6 Months)
You’ve run multiple POCs or pilots that converted to paying customers
You’ve built and refined scalable solution patterns, reference architectures, and sales playbooks
Your insight into customer needs has meaningfully shaped product direction
You’re contributing to hiring or mentoring of additional GTM/SE talent
You’ve closed meaningful deals with high technical credibility
Please note: This is a San Francisco based role. As this role focuses on GTM, you'll also be eligible for commission based off of deals closed.
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


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