Head of GTM Engineering
fun.xyz
3 days ago
Full-time
On-site
San Francisco, California, United States
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
-
Revenue data layer. CRM as the single source of truth, a warehouse that joins pipeline, product usage,
onchain activity and billing at the account level. Everything below sits on this. -
Signal-based pipeline engine. Outbound triggered by real intent: onchain activity, contract deployments,
funding events, hiring, product usage. Enrichment, scoring, routing and sequencing, built so reps start their
day with qualified work, not a blank list. -
Deal intelligence. Call transcripts and email automatically update the CRM, surface risk, and prompt next
steps. Reps sell; the system does the data entry. -
Forward-deployed engineering on strategic deals. For large enterprise evaluations and RFPs, you
build the integration prototype, sandbox or custom demo that wins the technical bake-off. You are in the
room for the hard conversations. -
Internal copilots. Account research, call prep, proposal drafting and objection handling, trained on our
own win/loss history and customer language. -
Forecasting. A forecast built from pipeline signals and historical conversion, reviewed weekly with the
CRO. Forecast accuracy is one of your metrics. -
Product feedback loop. Structured objections, feature gaps and lost-deal reasons from sales data,
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:
First 30 days: Audit of the current stack and data. Revenue data layer designed and the CRM cleaned
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.
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:
- Own outcomes, not tools. You are measured on what changed for the business, not on what you built.
- Build on real workflows. Nothing gets automated until a rep is already doing it by hand and it is worth
their time. No cathedrals. -
Ship weekly, ride along monthly. You sit in on calls and deals regularly. Distance from the field is how
this role fails. -
Stay in the engineering culture. You use the company's stack, review practices and security
standards. No shadow infrastructure. - Default to open. Your roadmap, metrics and decisions are visible to the whole company
What are we looking for:
- A strong engineer who is comfortable owning production systems end to end: data pipelines, APIs,
LLM-based automation, and the occasional front end. - Direct experience with modern GTM tooling (CRM APIs, enrichment and sequencing platforms, call
intelligence, warehouse-native analytics) or the ability to learn it in weeks. - Fluency with LLMs in production: prompting, evaluation, retrieval, agents, and the judgement to know
when a simple rule beats a model. - Enough commercial sense to sit in a customer meeting and know what will move the deal.
- Familiarity with crypto and onchain data, or deep curiosity and a fast learning curve.
- You have operated in a high-intensity, high-ownership environment and you liked it.
Why Join Us:
● Shape the future of payments and programmable money
● Work with bleeding-edge tech in a domain where innovation moves fast
● Join a mission-driven team focused on access, openness, and trust
● Be a key contributor, not just a cog—your work will ship fast and matter
● Collaborate with top-tier protocols, builders, and financial infrastructure providers
Location and Work Environment:
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.