Software Engineer, Backend, Growth

About [Employer]

[Employer] is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At [Employer], everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median [Employer] customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without [Employer]. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, [Employer] is the place to do it.

[Employer] is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at [Employer].

The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage.

The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and [Employer]’s product.

A core part of this mandate is [Employer]’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals. This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement.

You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end.

What You’ll Do

• Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration.
• Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking.
• Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context.
• Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution.
• Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes.
• Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration.

What You Need

• 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language.
• A track record of owning production services, APIs, data models, and distributed or event-driven workflows.
• Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability.
• Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions.
• Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required.
• Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes.

Nice to Haves

• Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems.
• Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure.
• Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology.
• Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery.
• Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure.
• Experience building experimentation or attribution systems that connect interventions to customer and business outcomes.

Benefits available to all full-time [Employer] employees (Global)

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by [Employer]
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation expense coverage to NYC or SF (if needed)

Canada

• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: [Employer] will only contact you through official @[Employer].com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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