About Enterpret
Enterpret is redefining how businesses understand and act on customer feedback. We re building an AI-native platform that centralises feedback from every source surveys, reviews, support tickets, communities and turns it into clear, actionable insights that drive business growth.
We re trusted by some of the world s most customer-obsessed companies likeCanva, Descript, Notion, Perplexity and many more, and backed by leading investors like Kleiner Perkins, Canaan Partners, and Peak XV Partners. Our mission: to unlock the voice of the customer for every product team on the planet.
About the role
This role sits at the intersection of customer adoption and real-world engineering.
As a
Solution Architect
, you will help customers deploy and use Enterpret within their existing technical environments. You will design integrations, shape data flows, and make architectural decisions that enable customers to go live quickly and confidently. You will work in high-leverage moments such as early evaluations, proof-of-concepts, and complex onboarding, where strong technical judgment and execution speed directly impact deal outcomes.
This is a hands-on engineering role with deep customer context. You will write code, make architectural calls, and influence how our product and internal tooling evolve based on patterns you observe across customers.
What you will do
- Own the technical success of customers during evaluations and early onboarding, from first API call to stable data ingestion
- Build customer-specific integrations and POCs using production-grade, maintainable code
- Understand customer systems and data flows, and design architectures that work within their constraints
- Unblock technical risks that slow down evaluations or stall deals, helping shorten sales cycles
- Make informed calls on when to implement customer-specific solutions versus when to push for scalable platform changes
- Identify recurring customer challenges and translate them into clear patterns and inputs for product and engineering teams
- Improve internal tools and workflows that help GTM teams operate faster without creating engineering bottlenecks
What it takes
- 4-8 years of experience building and shipping software in production environments
- Strong full-stack engineering fundamentals, with comfort working close to data
- Hands-on experience with APIs, webhooks, and system integrations
- Ability to reason through ambiguous problems and make sound technical trade-offs without complete information
- Clear communication skills, especially when explaining technical decisions to customers and cross-functional teams
- Strong sense of ownership and accountability for outcomes, not just execution
- Bias for action, with the discipline to maintain code quality and reliability
Why Enterpret
- You work on technically challenging problems that directly impact revenue and customer success
- You gain real exposure to customers, product decisions, and production use cases
- Your work shapes how integrations and onboarding scale as Enterpret grows
- You join a high-ownership team building an AI-native product from first principles
- You grow into a senior technical role with influence across engineering, product, and GTM
