Forward Deployed Engineer, Operations
About the role
Why should you apply for this role?
build the system that solves it
internal-facing role.
Examples of what’s you’ll own
- Internal AI data infrastructure that consolidates what we know about our business and makes it usable across teams.
Put AI at the center of how you wor
k. We're an AI-forward team and expect you to build with it by default, leveraging it in your daily workflows as well as for team enablement, not just basic usage.
- Building products we'd otherwise buy. We're replicating internal versions of Sales, CS, Marketing tools, built to fit exactly how we operate instead of bending our workflows to someone else's SaaS.
- The
dashboards that run the business
. Our Ops dashboard, Finance dashboard, and the Super Admin dashboard, plus the automations behind them. This means understanding why something matters to the business, not just what needs to be built.
- Own the work that starts as a prototype and has to become a real system: internal applications and automations, product integrations, features for new verticals, and agentic workflows hardened into deterministic ones.
- Net-new product POCs. Working directly with the
Product Engineering team on early-stage ideas
before they become full initiatives, bringing business context and translating it into technical decisions.
- Guardrails on AI-assisted development. Our BizOps team ships production code with AI assistance. You'll review that work (architecture, infrastructure decisions, PRs) to make sure it's safe, reliable, and doesn't quietly generate tech debt we have to unwind later.
- Build for reliability, not just speed. Design and build systems with real attention to
reliability, performance, and maintainability
. This is software that moves real money, so the bar is production-grade from day one.
- Plug into the engineering team through code review, architecture feedback, and shared standards, so what you ship is production-grade and you get sharper with every initiative.
You'll sit within Engineering but work alongside our Business Operations and Product Engineering teams. You will support our non-technical subject matter experts in deploying product to our production codebase, building systems from scratch and refining our coding harnesses to make them more use-friendly for non-technical users. We run parallel initiatives in small, high-autonomy teams, and we expect the people who join us to step up, make decisions, and take accountability for outcomes, technical and otherwise.
What you'll bring
- Deep
architectural
Platform/infrastructure fluency.
You understand what's underneath the application layer (Kubernetes, cloud infrastructure, data pipelines) even if you're not deploying it every day.
- Strong software engineering ability within a
full-stack range.
You ship production code independently and have owned real systems end to end. You move comfortably between frontend and backend.
- An AI-native operating bias.
AI is your default way of working
: multiple models, custom agents, and specialized contexts integrated into how you plan, build, and ship, not just Copilot autocomplete.
- Proficiency in, or the ability to quickly ramp on, our stack: TypeScript, Next.js, and Python for internal tooling, and Go or Rust, Kubernetes, PostgreSQL, and AWS on the core platform.
- Experience designing and evolving scalable systems, with a clear point of view on the
tradeoffs
involved for all stakeholders and end-users.
- A demonstrated ability to take a project from end-to-end: technical execution, stakeholder communication, and
delivery accountability.
- Cross-functional instincts. You're comfortable moving between Operations, Product, and Data and switching context across very different stakeholders without losing the thread.
- A bias toward business impact. You want to solve real operational problems and understand how the business actually runs and makes money.
- Comfort operating in
ambiguity
, with the judgment to work autonomously, make decisions, and take accountability for outcomes.
- Pragmatism and speed. You know when to build something fast and scrappy and when to make it bulletproof, and you can flex across domains without spreading yourself thin.
Nice-to-haves
- Experience at a
fintech or payments company,
or somewhere you worked close to how money moves.
- Experience contributing to billing, payments, or quote-to-cash systems.
- Experience building internal tools, admin panels, or business-facing dashboards.
- Familiarity with event-driven architectures (RabbitMQ or similar).
- Background at a
fast-scaling startup
What we offer
- Competitive salary tailored to your experience, skills, and expertise.
- The
base compensation range for this role is $200,000 - 250,000, plus equity.
The range displayed on each job posting reflects the approximate total target compensation for the position. Within the range, individual pay is determined by factors including relevant skills, experience, education/training.
- Equity opportunities so you can share in our growth and success.
- Unlimited PTO and flexibility when you need it the most.
- Yearly learning & development stipend to help you grow and do your best work.
Why choose Alternative Payments?
Own your impact
Collaborate
Grow with us
Thrive in a supportive culture
Want to see what we're actually building?
Our values
Transparency & Honesty
Resourcefulness & AI
Partnership
Revolutionary & Boldness
Accountability
Applying to Alternative Payments
Not included in the source posting: qualifications.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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