À propos de ce poste Head of GTM Engineering chez Funxyz
Capital markets are undergoing a fundamental shift. Assets that live in fragmented systems and manual workflows are moving onto blockchains, systems designed to move and store value more transparently and efficiently.
While this unlocks more open and programmable financial systems, it also introduces significant complexity. For most users, interacting with this new infrastructure is still too difficult.
Fun builds the infrastructure that powers consumer-facing fintech applications, handling onboarding, account access, and money movement so users can interact with blockchain-based systems as seamlessly as they do with traditional finance.
For fintech builders, Fun provides a best-in-class onboarding and deposit stack that drives conversion and unlocks user growth. We operate at the intersection of financial infrastructure, complex engineering, and product experience.
What You'll Own
onchain activity and billing at the account level. Everything below sits on this.
funding events, hiring, product usage. Enrichment, scoring, routing and sequencing, built so reps start their
day with qualified work, not a blank list.
steps. Reps sell; the system does the data entry.
build the integration prototype, sandbox or custom demo that wins the technical bake-off. You are in the
room for the hard conversations.
own win/loss history and customer language.
CRO. Forecast accuracy is one of your metrics.
delivered to product monthly. Sales becomes a research input, not a complaint channel.
Why this matters beyond sales
You will treat product, customer success and finance as internal customers from day one. The same data
layer powers usage-based billing, churn signals and product prioritisation. You present to the whole
company every quarter, and your backlog is visible to everyone.
What success looks like:
to a defined standard. Backlog agreed with the CRO and ranked by impact.
First 60 days: Signal-based outbound engine live for one segment. Transcript-to-CRM automation in
production. Reps measurably spending more time selling.
First 90 days: Forecast model in weekly use. First strategic deal where your prototype or demo was
decisive. Monthly product feedback loop running.
Ongoing: Rep selling time, pipeline created from signals, cycle time, forecast accuracy, CRM
completeness. Not number of automations shipped.
How we expect you to work:
their time. No cathedrals.
this role fails.
standards. No shadow infrastructure.
What are we looking for:
LLM-based automation, and the occasional front end.
intelligence, warehouse-native analytics) or the ability to learn it in weeks.
when a simple rule beats a model.
This role is primarily in-person at our SF Office. We work together Monday through Thursday for fast, iterative collaboration and optional WFH Fridays to reset and recharge.