Product Engineer, Agentic Workflows
Listed on 2026-07-01
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Software Development
Backend Developer, AI Engineer (Applied/Software)
Product Engineer
Pockyt is building the AI-native infrastructure for global money movement. We give merchants a single platform to accept payments from anywhere, send money globally, and manage funds through Global Virtual Accounts and stable coins — but our ambition runs deeper than the rails themselves. We're architecting the connective tissue that lets capital move across borders the way information moves across the internet: instantly, intelligently, and autonomously.
We serve a wide spectrum of merchants, from sophisticated enterprise platforms running complex multi-currency operations to the next generation of AI-powered startups, including the one-person unicorns we believe are about to reshape the global economy. Today, that means one integration, one account view, and one place to track everything. Tomorrow, it means a financial layer that AI agents can natively transact on — where money flows are orchestrated, optimized, and reconciled without human bottlenecks.
Our mission is to make global commerce frictionless. We're not building another payments platform. We're building the operating system for how value moves in an agentic, borderless economy.
We're looking for a Product Engineer who treats automation as a craft. You'll sit at the intersection of product, engineering, and operations — embedded with our executives, ops leads, and merchants to find friction and replace it with software. One week you might be building an internal agent that reconciles multi-currency settlements; the next, you're shipping a merchant-facing workflow that turns a 20-step compliance process into a single click.
This isn't a role with a tidy backlog. You'll spot the problem, scope it, prototype it, ship it, and measure it. You'll use AI tools (Claude, Cursor, Codex) as a force multiplier — building things in days that used to take quarters. You'll report to our Head of Product and work directly with our executives and cross-functional leads. This is a great fit for someone genuinely ambitious, who learns fast and wants to ship the kind of work that gets pointed at in all-hands.
Embed with internal teams (ops, finance, compliance, GTM, support) to identify high-leverage workflows, then design and ship the automation end-to-end
Build internal tools, agents, and integrations that eliminate manual work — reconciliation, KYC review queues, merchant onboarding triage, ticket routing, reporting pipelines
Prototype and ship merchant-facing automation features, partnering with our core engineering team on integration and rollout
Use AI coding tools (Claude Code, Cursor, Codex) and LLM APIs to accelerate development — from spec to working prototype in hours, not weeks
Define success metrics for every automation you ship — hours saved, errors reduced, time-to-resolution — and own the outcome
Translate ambiguous executive asks ("we're losing too many hours to X") into shipped product
Partner with engineering, product, and design to upstream successful internal prototypes into core product features
A track record of shipping — side projects, internal tools, automations, hackathon wins, prior production work; whatever shows you can take something from idea to running code without hand-holding
Strong AI fluency — you reach for Claude, Cursor, Codex, or similar daily and have opinions about when each one helps
Full-stack comfort — you can move across frontend, backend, and basic data plumbing (Type Script, Python, or similar). Depth in one area is fine; rigidity in only one is not
A grinder mindset — you take ownership, follow up, close loops, and don't wait to be told what's next
Excellent written and verbal communication — you'll be presenting work to executives regularly and writing specs for stakeholders who aren't engineers
Curiosity about how the business actually runs — you want to understand the operational reality, not just the ticket
Comfort with ambiguity and a willingness to be wrong fast
Experience building with LLM APIs, agent frameworks, or eval tooling (Lang Chain, Lang Graph, Inngest, Temporal, browser automation, etc.)
Prior exposure to fintech, cross-border payments, digital wallets, or merchant acquiring
Familiarity…
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