Bluefin · ISV Business Development

Embedded payments are won at the integration — not one merchant at a time.

I have spent my career finding the platform that already sits between a vendor and thousands of end merchants, and building the channel there. That instinct started in merchant acquiring, ran through franchise technology, and now runs through payment operations.

~25%
Close rate at Salesflow across a full-cycle SaaS motion
~80 / month
Scheduled executive conversations, self-sourced
$500K → $1M+
Company book of business at EBS, as primary producer

The software platform is the distribution. The payment is what travels through it.

An ISV already owns the merchant relationship, the onboarding flow, and the daily workflow. A payments provider that integrates there does not win a deal — it wins a channel, and every merchant the platform onboards afterward arrives without a sales cycle.

That is why integrated payments competition is really competition for the integration slot. It is also why the technical and security conversation is commercial: the platform has to be able to say yes without inheriting risk it cannot carry.

01 · The platform's problem

Why an ISV moves

  • Payments limiting a different objective
  • Merchant onboarding friction
  • Support burden and exceptions
  • Compliance and PCI scope exposure
  • Unmonetized transaction volume
02 · The commercial case

What the partnership must prove

  • Faster merchant activation
  • Reduced integration and support cost
  • Narrower compliance scope
  • A revenue line, not a cost center
  • Retention through operational ownership
03 · The buying committee

Who has to agree

  • Executive sponsor and P&L owner
  • Product and roadmap leadership
  • Engineering and integration teams
  • Security and compliance
  • Legal and commercial terms
Platforms rarely go looking for a payments provider. They start looking when payments begin limiting something else — onboarding speed, support load, compliance scope, or a revenue target. The opening is that constraint, not the processing rate.

I keep finding the entity that already touches every account.

This is not a recent interest. Across three roles I have repeatedly stopped selling account by account and gone looking for the organization already sitting in front of all of them.

01 · EBS

Operator groups as one-to-many access

Identified regional franchise operator organizations and secured group presentations to 15–30 owner-operators at a time, replacing one-to-one prospecting with a room.

02 · EBS

Approved-vendor and API status

Pursued corporate approved-vendor and integration status as a distribution strategy, competing against a venture-backed rival bidding at zero margin for the same standard.

03 · Bank Up

Ecosystem mapping and partner motions

Built partner prioritization and ecosystem plans across software platforms, banks, and payment providers, converting public signals into direct stakeholder conversations.

Channel play · Employer Benefit Systems

Finding the back office that already served thousands of locations.

Our product ran on new-hire and payroll data. So I went looking for whoever already held that data at scale, and found the leading national payroll and accounting provider to McDonald's owner/operators — a firm serving hundreds of owner groups across thousands of restaurants.

I opened the relationship and drove it to executive review. One partnership would have represented a multiple of everything I closed directly in eighteen months of account-by-account selling, with the data integration problem already solved.

Leadership declined it on relationship ownership — the partner would have held the operator relationship and we would have become a back-end provider. That is a legitimate objection in channel deals, and I had brought the opportunity up before I had brought the answer to it. It is the single most useful thing I have learned about how partnership deals actually die.

Data dependency Identify the holder Open the account Executive review Internal decision
Evidence boundary

This describes a channel opportunity I identified, opened, and escalated — not a signed partnership, executed agreement, or revenue-producing integration. The decision not to proceed was made above me.

Ecosystem work · Bank Up

Partner prioritization built from operational research.

I produced ecosystem plans and partner prioritization frameworks across vertical software platforms, banks, and payment providers — mapping where each sat relative to payment acceptance, posting, exceptions, and reconciliation, and where a partnership would create commercial leverage rather than channel conflict.

Evidence boundary

These were commercial analyses and prioritization frameworks produced for leadership, plus direct stakeholder outreach — not signed platform partnerships.

How I would prioritize an ISV territory.

Not every software company is a partner worth signing. I would rank prospects on four dimensions and prospect against observable events rather than generic embedded-payments messaging.

Fit

Strategic fit

Does the platform's vertical, merchant base, and business model actually benefit from this integration, or is payments incidental to what they sell?

Value

Revenue potential

Merchant count, transaction volume, average ticket, growth rate, and whether payments becomes a monetized line or stays a pass-through.

Depth

Integration depth

How embedded the relationship would be, how much engineering both sides must commit, and how durable the partnership is once live.

Influence

Market influence

Whether the platform sets the standard in its vertical — a reference that makes the next several partners easier, or an isolated win.

Events that create a reason to call

Platform adding payments Gateway or processor migration PCI scope pressure Security or compliance event New vertical expansion Funding or acquisition Merchant onboarding friction Support burden signals Contract or renewal timing

These signals do not prove a platform has a problem. They create commercially relevant hypotheses that can be tested through discovery.

Discovery starts with the constraint — not the integration guide.

Illustrative discovery questions — not claims about Bluefin customers or partners.

A hunter first. The research makes the selling sharper.

Verified results from full-cycle selling — stated precisely, so the numbers can be trusted.

Salesflow
Full-cycle SaaS selling from discovery through close, averaging approximately 20 wins per month across approximately 80 scheduled executive conversations.
~25% close rate
EBS
Primary producer behind growth of the company book of business over 18 months, closing two to four multi-unit operator agreements per quarter across 100+ franchise locations, against a deferred and legislatively contingent ROI model.
$500K → $1M+
Chase Paymentech ISO
Sold merchant services, terminals, and payment gateways to SMB merchants; managed and trained a four-to-six rep outbound team.
1+ deal / day
Bank Up
Partner and ecosystem development for a payment-operations business supporting $4B+ annually, with pipeline self-sourced from public records, system signals, and contract timing rather than inbound.
Self-sourced
Full-cycle new-partner acquisition Outbound prospecting Ecosystem mapping Executive access Technical stakeholder alignment Consultative discovery Commercial negotiation Multistakeholder navigation Pipeline discipline Salesforce & forecasting Conference and event selling Cross-functional coordination

Build the partner motion before asking the forecast to perform.

ISV cycles are long and technical. The first quarter should produce product command, a prioritized ecosystem, and real discovery — not premature revenue assumptions.

Days 1–30

Learn & map

  • Learn the platform, integration models, security and tokenization architecture, pricing, competition, and the internal sales process.
  • Understand existing partners, why they chose Bluefin, and what the strongest live proof points actually are.
  • Build relationships across Solutions Engineering, Product, Integrations, Implementation, Legal, and Marketing.
  • Establish disciplined Salesforce activity, opportunity management, and forecasting habits immediately.
Days 31–60

Prioritize & activate

  • Segment the ISV landscape by strategic fit, revenue potential, integration depth, and market influence.
  • Launch self-sourced outbound against observable triggers rather than generic embedded-payments messaging.
  • Run discovery across executive, product, engineering, and compliance stakeholders.
  • Build the commercial case around activation speed, support cost, compliance scope, and monetization.
Days 61–90

Advance qualified partners

  • Move qualified platforms toward technical validation, commercial terms, and executive alignment.
  • Document buying committees, integration dependencies, competitive alternatives, and decision criteria.
  • Preempt the objections that kill channel deals — margin, relationship ownership, and engineering cost.
  • Return partner, competitor, and market intelligence to Product and leadership.

The integration is the distribution. Everything else is a transaction.

I understand payments from the merchant side, the platform side, and the operational side that has to reconcile afterward. I have opened channel relationships that would have changed a company's distribution, and I have learned the hard way what has to be answered internally before one survives executive review.

I bring a hunter's activity level, self-sourced pipeline discipline, and the ability to hold a commercial conversation with an executive and a technical one with the team that has to build it.

Thomas Jennings
Business Development · Embedded Payments · Partnerships
Loveland, Colorado
tjennings.payments@gmail.com 913-405-4551 linkedin.com/in/lithomas-jennings-saas Download résumé (PDF)