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AI Implementation Associate

Highbeam · New York · On Site · Active · Ashby

Job facts

FieldValue
CompanyHighbeam
TitleAI Implementation Associate
Normalized title-
Department / teamProduct / Product
LocationNew York, NY, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Highbeam.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Product.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHighbeam
Source337b7aa2-3f33-4bc2-9831-d179db80767a
ATS providerAshby

Description

Highbeam is building the future of business banking and cash management. Our platform combines AI agents, automated financial workflows, and integrated financial products that save brands time and money. Customers have generated billions in sales and include well-known brands such as Cuts , Tushy , NYON , Sabah , Still Here , Alice Mushrooms , Original Grain , birddogs , and more. Our team includes alumni of Shopify, Square, Toast, Rippling, and McKinsey. We’ve raised $42M in equity from Acrew, FirstMark, Mayfield, and Two Sigma Ventures. About this role We're hiring a Finance AI Implementation Associate to sit at the seam between our customers and our product. You'll work directly with brands to optimize their cash across cash management, bill pay, and forecast health on our agentic platform and you'll be the primary channel feeding what you learn back into what we build. Every manual workflow you run today is a candidate for tomorrow's autonomous capability, and you'll be the one spotting which ones, specifying them, and partnering with Product and Engineering to ship them.This role is based in our NoHo, NYC office. What you’ll do Implement and operate customer workflows. Configure each customer's setup across cash management recommendations, AP and bill pay, and forecast health monitoring. Own the outcome, customers should see measurable cash improvements from your work Work hands-on with the agentic platform. Prompt it, evaluate outputs, tune behavior, and build the skills and workflows it uses to serve customers. You're not just a user of the platform, you're shaping how it behaves Partner closely with Product. Spot patterns across customers, translate them into clear asks, and work with PMs and engineers to translate manual workflows into autonomous ones Prototype new AI-powered workflows. When a customer need doesn't fit what exists, build something. Partner with customers and internal teams to test ideas quickly and bring the winners into the product Solve ambiguous financial problems. Break down messy customer situations, reason through them, and design workflows that scale beyond a single brand Engage customers directly. Be a person they trust to optimize their cash and resolve issues completely Qualifications Experience in a customer-facing, strategy & operations or product role Strong analytical thinking; able to break down ambiguous financial problems and reason through them clearly Hands-on experience tinkering with AI tools like Claude, ChatGPT, or Cursor (personal projects, school, or work all count) Desire to learn; able to pick up on unfamiliar concepts quickly and directly apply in day-to-day work Understanding of core financial concepts (cash flow, P&L, AP/AR) and genuine curiosity about fintech Comfort in Excel or Google Sheets modeling and analysis Strong communication skills; can articulate complex concepts clearly to customers Comfort working cross-functionally and moving fast in ambiguous, early-stage environments BA or higher, preferably in Finance, Economics, Accounting, Computer Science, or a related field You'll thrive at Highbeam if... You love working in-person with a high-performing team You enjoy working in an idea-meritocratic, low-ego environment You are proactive and self-directed, and you excel in ambiguous, fast moving environments You care about delivering a polished customer experience Bonus: You have experience working in fintech, AI or early-stage startups What we offer Chance to join the founding team of a well-funded startup chasing a huge opportunity Competitive salary and meaningful equity Great location: Our NYC office is in NoHo, a short walk from the A,C,E · B,D,F,M · N,Q,R,W · 1 · 6 trains. Our Toronto office is downtown near St. Andrew Station. Generous PTO Comprehensive health & benefits package Stipends for lunch, commute, wellness, and purchasing customer products Yearly offsite—last year we went to Mexico City!

Full job record

Job ID499c7df66525511ec50853d22785580c36a896ed
Org IDd0ed80a8-eb78-447d-88ab-43056aeb0bfd
Source ID337b7aa2-3f33-4bc2-9831-d179db80767a
Board ID337b7aa2-3f33-4bc2-9831-d179db80767a
Providerashby
Provider Job Key60b69921-b805-4a8d-a6ef-bba2a3aba05d
TitleAI Implementation Associate
Normalized Title
Statusactive
Activeyes
Location TextNew York
DepartmentProduct
TeamProduct
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/highbeam/60b69921-b805-4a8d-a6ef-bba2a3aba05d
Apply URLhttps://jobs.ashbyhq.com/highbeam/60b69921-b805-4a8d-a6ef-bba2a3aba05d/application
First Seen At2026-05-29 05:04:17Z
Last Seen At2026-06-06 19:52:44Z
Last Checked At2026-06-06 19:52:44Z
Last Changed At2026-05-29 05:04:17Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=highbeam/date=2026-06-06/2026-06-06T19-52-43-263Z-644d739765fff87be6bedd43fbd529657a1d55396957affd55ce4d14e116404e.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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