Weekly roundup
The AI skill gap in embedded finance is hiding in plain sight.
Hey,
Every embedded finance team has the same problem. They ship a product. A partner activates. And then nothing happens. Not because the product is bad. Because nobody built a lifecycle that actually teaches the partner how to use it.
That's where marketers with AI skills are getting hired right now. Not to write blog posts. To build the systems that turn a newly activated partner into a revenue-generating one.
This week we are deep in embedded finance and BaaS. Four roles, four companies, one skill module that ties them all together.
Let's get into it.
This Week’s Domain
Why Embedded Finance Is Where the Marketing Jobs Are
Embedded finance is not slowing down. A 2024 report from Bain and Plaid projected the embedded finance market in the US alone will hit $7 trillion in transaction volume by 2026. They predicted this a couple of years ago and it still looks on track today. Platforms that once ignored financial products are now building entire revenue lines around them.
That growth needs marketing support. Product marketers to position lending APIs to SaaS CFOs. Content marketers to explain what "banking as a service" actually means to a skeptical enterprise buyer. Lifecycle marketers to make sure the partners who sign up actually stick around.
Quick note on listings: fintech roles move fast. Verify each posting is still live before you apply. Links are current as of May 12, 2026
Opportunity #1: Product Marketing Manager, FinTech — Toast (Remote)
Location: Remote, United States
Salary: Not listed
You probably know Toast as the restaurant POS company. But Toast Capital is a serious embedded finance product. It gives restaurant owners access to working capital directly through the platform they already run their business on. That's embedded lending done right.
This PMM role owns the GTM strategy for Toast Capital and the rest of Toast's growing fintech product suite. The job description does something most PMM JDs don't. It explicitly names the AI skill it wants. The role calls out deploying LLMs to mine unstructured data at scale, specifically sales calls and support tickets, to surface product insights. It also asks for someone who can leverage AI to accelerate the development of segment-targeted messaging.
That is not vague. That is a company that has thought about where AI fits in the marketing function and knows what it needs.
The AI skill this role is testing for: Unstructured data mining with LLMs for product and GTM insight.
Practice prompt: "You are a product marketing manager at an embedded lending company. Here are 10 sales call transcripts from the past 30 days: [paste transcripts]. Identify the top 3 objections prospects raised about the lending product. For each objection, write a one-paragraph rebuttal that addresses the concern directly, uses plain language, and connects back to a specific product benefit. Format as: Objection / Why It Happens / How to Respond."
Opportunity 2: Product Marketing Manager, Income and Lending — Plaid
Location: Remote, United States
Salary: $133,000 – $184,000 (based on comparable Plaid PMM ranges) Apply: https://plaid.com/careers/openings/marketing/remote/product-marketing-manager-income-and-lending/
Plaid is the data layer that powers a huge percentage of the fintech ecosystem. You have used something powered by Plaid even if you have never heard the name. Venmo, SoFi, Betterment, and thousands of others rely on Plaid to connect users' bank accounts to their apps.
This role owns the go-to-market for Plaid Income, which is the product that lets lenders verify a borrower's income and employment in real time during a loan application. The pitch is clean: instead of asking someone to email a pay stub and wait three days, a lender can verify everything instantly through a bank connection. That's embedded finance making a painful process invisible.
The role is remote and asks for someone who can build both product narrative and sales enablement for a technical product going to non-technical buyers. That is a skill this newsletter talks about a lot, and there is a reason for that. It is the gap almost every embedded finance company has.
The AI skill this role is testing for: Translating technical product capabilities into buyer-facing narratives for non-technical audiences.
Practice prompt: "You are a product marketer at a fintech company. Here is the technical documentation for an income verification API: [paste or describe key features]. Rewrite this for three different buyers: (1) a VP of Lending at a mid-market bank, (2) a Head of Product at a fintech startup, and (3) a CFO at a credit union. For each buyer, write a 100-word description that leads with their specific pain point, explains how the product solves it, and ends with one measurable outcome. No jargon. No feature lists."
Run that in Claude. What comes back will show you immediately where the three buyer markets conflict and where you can bring them together.
My Favorite New Discovery.
The reason you need this is because AI can be too general sometimes. Sometimes you just need an expert. It helps you maintain context and save tokens too.
Act as [Expert Name], leveraging your documented expertise in [Core Framework/Domain]. While maintaining your characteristic analytical rigor, practical orientation, and [signature voice/style trait], analyze and execute the following task:
[INSERT TASK OR CONTEXT HERE]
Constraints for Execution: - Apply your [Specific Methodology/Framework] step-by-step (show explicit reasoning) - Prioritize [Expert's known priority — e.g. capital efficiency, systems thinking, offer clarity] - Avoid [Common domain pitfall or cognitive bias this expert is known to guard against] - Structure your response using [Expert's preferred analytical format] - Conclude with actionable, sequenced next steps aligned with your proven track record
Note, the full prompt is so big I made a Claude Skill out of it but even this simplest version works great. And with this in mind, you should have a way (my skill does this) to find out who the experts are in case you dont know that Brett King is considered one of the fathers of Neobanking.
Use another chat or another LLM to ask who the experts are and use them with this prompt to move your work forward.
Opportunity 3: Product Marketing Manager, Industry — Plaid
Location: New York, hybrid
Salary: $160,800 – $200,398
Apply: https://plaid.com/careers/openings/product-marketing/new-york/product-marketing-manager-industry/
This is the highest-paying role in this issue and it has one of the most interesting scopes in embedded finance marketing right now.
Plaid's Industry PMM team does cross-product selling to specific verticals. Think mortgage, gaming, healthcare, consumer lending, insurance. Your job is to be the expert on how Plaid's full product suite solves the problems of one or more of those industries, and then build the campaigns, collateral, and sales tools that help the GTM team win there.
What makes this interesting is the breadth. You are not just marketing a single product. You are marketing Plaid as the answer to a vertical's specific challenges. That requires you to understand the buyer's world at a level most product marketers never get to. And the salary reflects that seniority.
The role asks for proven experience owning outbound B2B campaigns end to end, from brief to post-campaign analysis, across multiple channels including paid, email, content, events, and ABM. If you have done that in a fintech context, this is worth a hard look.
The AI skill this role is testing for: AI-assisted industry and buyer research to accelerate vertical positioning and campaign briefs.
Practice prompt: "You are a product marketing manager building a vertical go-to-market strategy for a fintech data company. Your target vertical is [choose one: mortgage, healthcare billing, consumer lending]. Using what you know about that industry, generate: (1) the top 3 pain points financial operations teams in that vertical face today, (2) the questions a VP of Product in that vertical would ask before buying a new data API, and (3) a 3-sentence campaign positioning statement that connects the product to those pain points. Then write a 5-bullet outbound email brief targeting that vertical. Do not use generic B2B language. Be specific to the industry."
This would be a great place to run your Ask the Expert prompt above to get an expert in the target vertical. This will 3-5x your results.
Opportunity 4: Sr. Product Marketing Manager — Wisetack
Location: Remote, United States
Salary: $133,300 – $186,600 plus equity
Wisetack is the kind of company that doesn't show up in enough fintech marketing conversations, which is part of why it's worth your attention.
Since 2018 they have been building point-of-sale financing for home services. Think of an HVAC technician finishing a $6,000 job and offering the homeowner a way to pay over 12 months, right there on a tablet, before leaving the driveway. That is embedded lending at the merchant level and it is a genuinely different use case than most BaaS companies target.
The numbers back it up. Wisetack ranked #15 on the 2024 Deloitte Fast 500 by revenue growth and won the 2024 Best Embedded Finance Solution from Banking Tech Awards. They have raised $84M and have an NPS of 79, which is more than double the financial services average of 44.
This role owns messaging and positioning across enterprise partners, software platforms, and merchants. The job description is direct about what it wants: someone who can explain complex financial systems in plain English, build enablement that people actually use, and map the full customer journey for lifecycle campaigns. It also explicitly notes that the hiring process uses AI tools, which signals a company that is already building AI into its operations.
The AI skill this role is testing for: AI-powered partner onboarding email sequence building (this week's skill module, below).
Practice prompt: "You are a lifecycle marketer at an embedded lending company. A new software platform partner just went live with our point-of-sale financing product. The partner is a [describe: e.g., mid-market field service management software for HVAC and plumbing companies, 500 customers, first fintech integration]. Write a 5-email onboarding sequence covering: Day 1 (welcome and first action), Day 3 (first transaction milestone), Day 7 (feature they have not used yet), Day 14 (case study from a similar partner), Day 30 (check-in and expansion prompt). Each email: max 150 words, include subject line, warm but direct tone. No fluff."
THIS WEEK'S SKILL: AI-Powered Partner Onboarding Email Sequence Builder
Every embedded finance company has the same activation problem.
A platform partner signs the contract. They get the API keys. They complete the integration. And then the 30-day clock starts. If that partner does not get meaningful transaction volume in the first 30 days, the odds of them ever hitting their potential drop sharply.
Most companies handle this with a generic "welcome to the platform" email and a link to the docs. That is not an onboarding program. That is a hope strategy.
Here is the thing. This is exactly the kind of repeatable, segmented lifecycle work that AI is genuinely good at. You give it the partner profile. You give it the product details. You tell it the milestones you want partners to hit and when. It builds the sequence.
Not as a final draft. As a strong starting point you can edit in 20 minutes instead of building from scratch in two hours.
The full skill framework:
Step 1: Define the partner profile before you write anything. The most common mistake in partner onboarding is writing generic sequences and then wondering why open rates are low. Before you touch a prompt, define: What type of company is this partner? What industry are they in? What product are they activating? What does their typical customer look like? What is the one thing they need to succeed in their first 30 days?
Step 2: Map the activation milestones you care about. For most embedded finance companies, the critical milestones in the first 30 days look something like this: first transaction processed, first customer application submitted, first disbursement completed, first feature beyond the core product used, first sign of expansion intent. Your email sequence should be timed to those milestones, not to a calendar.
Step 3: Run the prompt. Use the prompt from the Wisetack section above. Give it the partner profile and the milestone map. Ask for subject lines for every email. Ask it to vary the tone slightly by email, warmer early, more performance-focused by Day 14 and Day 30.
Step 4: Edit for segment specificity. The AI will give you a solid structure. Your job is to make it specific. Replace generic phrases like "your customers" with the actual type of end customer this partner serves. Replace "our product" with the actual product name and one concrete feature. Add a real case study reference in the Day 14 email if you have one.
Step 5: Build segment variants. Run the same prompt twice with different partner profiles. An early-stage startup activating for the first time needs different onboarding than an enterprise partner with a dedicated implementation team. The structure stays the same. The tone, examples, and urgency level change.
Why this matters across all four roles in this issue. Toast needs someone who can build lifecycle programs for restaurant partners activating Toast Capital. Plaid Income needs someone who can onboard lenders into a new verification workflow. Plaid's Industry team needs someone who can build campaigns that convert prospects in specific verticals into active users. Wisetack needs someone who can take a contractor software platform from signed contract to active financing in 30 days or less.
All four of those are versions of the same problem. Build the skill once. Apply it everywhere.
That’s it for this week.
Next week, we are moving into payments infrastructure. Think the companies building the actual rails that move money, not the apps sitting on top of them. It is a different kind of embedded finance and the marketing roles there are a different kind of challenge.
If you are focused on a specific domain and want me to keep an eye out for roles there, hit reply and let me know. I read every response.
See you next Tuesday.
Stu
P.S.
The Fintech AI Marketer is published weekly. Job listings are verified at time of publication but move fast. Always check the direct link before applyingng.