Home › Companies › Endex › GTM Engineer
GTM Engineer
Endex · New York City · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Endex |
| Title | GTM Engineer |
| Normalized title | - |
| Department / team | Technical Staff / Technical Staff |
| Location | New York City, NY, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Endex. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York City. | Open |
| Department jobs | Active postings in Technical Staff. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Endex |
| Source | 8e7efb15-fbbb-491f-85ea-90c0be16c837 |
| ATS provider | Ashby |
Description
Who We Are
Over the next few years, every financial institution will have teams of AI analysts working alongside their sharpest minds. At Endex, we're on a mission to bridge the present to the inevitable by building the most sophisticated digital coworker. We're a team working on the frontier of agentic development and applied finance, in close collaboration with leading research labs and backed by OpenAI ($14M Raise in Aug. 2025).
With significant demand after our launch, financial firms across the country recognize agentic AI in financial modeling is the future.
About the Role
Location: New York City Commitment: 5-6 Days In-Person
GTM Engineers at Endex own the systems that turn pipeline into revenue. This is a hybrid builder role where you'll design, implement, and optimize the automated infrastructure behind our outbound, inbound, and partner motions. You'll work directly with the CEO and GTM team to architect repeatable revenue systems targeting private equity, investment banking, hedge funds, and corporate finance buyers.
Your Key Responsibilities
Build & Own Revenue Infrastructure: Design and maintain outbound and inbound pipeline systems using Clay, HubSpot, and automation tooling
Optimize the Funnel: Analyze conversion data across the pipeline to identify drop-offs, test hypotheses, and implement fixes that measurably improve reply rates, qualification, and deal velocity.
Automate Outbound Campaigns: Build targeted, data-enriched outbound motions aimed at senior finance professionals. Research accounts, enrich contacts, write personalized messaging frameworks, and iterate based on performance.
Strengthen Inbound Processing: Develop systems to qualify, prioritize, and route inbound leads so the sales team spends time on the highest-value conversations.
Integrate Data Sources: Connect product usage signals, CRM data, and third-party enrichment tools to give the GTM team a unified, actionable view of prospects and customers.
Experiment and Iterate: Run structured tests on targeting, messaging, channels, and timing. Document results, build feedback loops, and scale what works.
Support GTM Strategy: Collaborate with the CEO and broader team on market expansion, vertical prioritization, and channel partner enablement with data-driven insights.
What We're Looking For
Builder Mentality: You've stood up outbound or inbound systems from scratch using tools like Clay, HubSpot, Zapier, n8n, or similar platforms.
Commercial Instinct: Every workflow you build ties back to a revenue outcome.
Technical Fluency: You're comfortable with APIs, data enrichment, light scripting (Python, SQL, or similar), and connecting systems together
Analytical Rigor: You dig into funnel data, spot patterns others miss, and translate findings into concrete next steps.
Curiosity & Adaptability: You teach yourself new tools fast and stay on top of what's emerging in the GTM tooling ecosystem.
Comfort with Ambiguity: You can take an undefined problem, break it into components, and figure out how to tackle it.
Strong Communication: You can explain a complex workflow to an SDR and present funnel analysis to the CEO with equal clarity.
Nice to Haves
Background in sales ops, rev ops, marketing ops, or a growth-oriented GTM role
Familiarity with financial services buyers or enterprise sales cycles
Early-stage startup experience where you built GTM infrastructure
Full-Time Benefits
Health & Dental Insurance
Monthly Wellness Stipend
Retirement Benefits — 401K Matching
Competitive Salary + Equity
Full job record
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| Org ID | 6bd79216-4b5a-42e4-ac1c-3e33670071ff |
| Source ID | 8e7efb15-fbbb-491f-85ea-90c0be16c837 |
| Board ID | 8e7efb15-fbbb-491f-85ea-90c0be16c837 |
| Provider | ashby |
| Provider Job Key | 6296f647-14a7-4d63-aae6-337cc55c50ca |
| Title | GTM Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York City |
| Department | Technical Staff |
| Team | Technical Staff |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York City |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/endex/6296f647-14a7-4d63-aae6-337cc55c50ca |
| Apply URL | https://jobs.ashbyhq.com/endex/6296f647-14a7-4d63-aae6-337cc55c50ca/application |
| First Seen At | 2026-05-29 06:07:03Z |
| Last Seen At | 2026-06-06 09:22:23Z |
| Last Checked At | 2026-06-06 09:22:23Z |
| Last Changed At | 2026-05-29 06:07:03Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=endex/date=2026-06-06/2026-06-06T09-22-18-215Z-05b44c4586de19fab76b0ee7d83c0ae949e5f95a1407986c0cd6119fa2fb89fe.json |
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