Leaving JustPaid: what I learned across growth, product, and engineering
My final day at JustPaid was June 30, 2026. This is what working across growth, media, product storytelling, and engineering taught me, and why my next chapter goes deeper into technical product building.
The short version I worked at JustPaid from September 2024 through June 30, 2026, ultimately serving as Head of Growth. The work crossed content, podcasts, product storytelling, websites, SEO, growth systems, technical execution, and engineering as marketing. I am continuing to mentor and teach through select Outskill programs while moving into a substantially more technical product role at an undisclosed venture.
My final day at JustPaid was June 30, 2026. I joined in September 2024 and ultimately served as Head of Growth. I am writing this now because career updates often flatten a meaningful period into a new title and a short thank-you. This chapter deserves a more precise record.
JustPaid is a Y Combinator W23 company building AI-powered revenue operations software for finance teams. Working there put me close to the difficult, unglamorous parts of billing, contracts, invoicing, reconciliation, collections, and cash flow. It also gave me the freedom to work across functions that companies usually keep separate.
Thank you, Daniel
Daniel Kivatinos gave me room to operate beyond a narrow job description. He trusted me to experiment, move between strategy and execution, and take on work that did not fit neatly inside a marketing lane. That trust is one of the main reasons I leave JustPaid with much more range than I had when I joined.
Thank you, Daniel, for the opportunities, the direct conversations, and the freedom to learn by doing. I am also grateful to everyone at JustPaid who helped turn ideas into published work, product improvements, customer conversations, and functioning systems.
The role became bigger than marketing
I joined to help grow the company, but growth inside an early-stage startup is not a clean department. It is whatever helps the market understand the product, helps the team learn faster, and helps a useful idea travel further.
Content and distribution. I worked across LinkedIn, X, YouTube, newsletters, articles, and founder-led content. The goal was not simply to publish more. It was to make the same product truth legible in several formats without losing the point. Podcasting. I helped establish and operate a founder-facing podcast, from preparing conversations and recording episodes to turning long-form discussions into useful distribution across video and audio channels. Product storytelling. I produced and shaped demo videos, comparison pages, landing pages, and sales-support material that made an AI finance product easier for prospects to understand. Website and SEO. I supported front-end changes, search-focused pages, subscription pathways, analytics, and website improvements. That work taught me that a website is not a brochure. It is part of the product's distribution system. Growth systems. I worked on content dashboards, performance tracking, conversion experiments, and the operating loops behind the visible campaigns. Good growth work depends on remembering what happened and making the next decision better. Technical execution. When the work required it, I moved closer to cloud coordination, internal tooling, and AI-enabled workflows. I learned to understand enough of the underlying system to help unblock execution instead of stopping at the brief.
The podcast became a learning system
Podcasting taught me more than content production. A good founder conversation forces you to prepare properly, listen closely, and notice which ideas survive a real follow-up question. Long-form conversations expose shallow understanding very quickly.
The work also changed how I think about distribution. Distribution is not the act of cutting one conversation into twenty clips. It starts with creating something worth returning to. Clips, posts, newsletters, and search pages work better when they are different doors into one substantial idea.
Engineering can be marketing
One of the most useful ideas I developed at JustPaid was engineering as marketing. Instead of only telling people what a product can do, build a small piece of utility that lets them experience the thinking behind it.
For a finance product, that might be an invoice-health check, a payment-risk diagnostic, a contract tool, or a simple calculator that turns an operational input into a useful answer. A small tool can explain a product category more convincingly than a long feature list because it creates value before asking for attention.
The best marketing artifact is often a useful product fragment. Engineering as marketing is not about hiding a lead form inside a calculator. It is about turning product knowledge into something useful, shareable, and concrete.
Marketing made me more technical
To market AI revenue operations responsibly, I had to understand the work underneath the message. Contracts affect billing. Billing affects invoices. Invoices affect collections and cash flow. Usage data, payment terms, reconciliation, approvals, and exceptions are not feature labels. They are connected parts of an operating system for revenue.
That understanding changed how I approached copy, demos, search, and product feedback. The deeper I went into the system, the less useful generic marketing language became. Clear marketing came from understanding how the product behaved, where a workflow broke, and why a finance operator would care.
It also moved me closer to engineering. Once you can see that a positioning problem is actually a product-clarity problem, or that a distribution idea should be a working tool, the boundary between marketing and building becomes much less interesting.
JustPaid gave me range. The next chapter is about depth.
The broadness of the JustPaid role was the education. I learned how a founder thinks, how a product is translated for the market, how media compounds, how technical constraints shape positioning, and how early-stage teams move when there is no perfect owner for the problem.
My next move is not a rejection of growth or marketing. It is a decision to take everything I learned and go deeper into technical product building. I want to spend more of my time on AI systems, product architecture, engineering decisions, integrations, evaluation, and the difficult work required to make software useful in production.
What comes next
I will continue mentoring and teaching builders through select programs at Outskill. Teaching keeps me honest because every framework eventually has to survive a learner asking, "How do I actually build this?"
I am also working on a currently undisclosed venture in a substantially more technical product role. I will be building AI systems, shaping architecture, and turning difficult operational problems into working technology. I am keeping the company and product private for now, but I will share more in the coming weeks.
The philosophy behind the work is rooted in kaizen, the Japanese practice of continuous improvement. Meaningful progress rarely comes from one dramatic breakthrough. It comes from making the system better, observing what changed, and repeating the process with discipline.
I leave JustPaid grateful for the trust, the people, the experiments, and the range. The company taught me how closely growth, product, media, and engineering can reinforce one another. That lesson will shape everything I build next.
If you want to follow the next chapter, including what I am building, what I am learning about AI, and the lessons behind my ventures, subscribe to Harshith's Newsletter.
Harshith Vaddiparthy works with founders, operators, and teams on practical AI products, workflows, advisory, training, and mentorship. This no-JavaScript version preserves the page's core information and navigation.