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Senior Software Engineer | GTM Platform, BackendParibus (Ramp) • United States
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Senior Software Engineer | GTM Platform, Backend

Paribus (Ramp)
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ 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 Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role
Ramp.com is the largest top-of-funnel surface at Ramp - over half our inbound SQLs come from it. Web Engineering owns this surface and the tooling marketers use to ship on it. You'll build the platforms that let 9+ marketing teams (Product Marketing, Paid Ads, AEO, Brand, Content, Lifecycle, Communications, Events, Sales) launch campaigns, ship landing pages, run experiments, and update content at speed. About the Team
Web Engineering is a lean and scrappy team that owns ramp.com end-to-end - the Next.js application, Sanity CMS, in-house A/B experimentation platform, and internal applications that marketers use on top of all of it. Recent shipped projects include Kirby Prototyper (AI-assisted landing page creation), Sanity MCP with guardrails (agent-driven content workflows), an Ad-Agent to programmatically run Meta and Google ads, and AEO infrastructure that enables Ramp to be cited in AI search results. The next phase is making those platform pieces compound. We're doubling down on tooling that turns marketing requests into self-serve workflows, and we're hiring two backend product engineers to drive the roadmap forward. What You'll Do
Own the end-to-end development of self-serve tooling that converts repeated marketing asks into reusable platform capabilities. Examples on the near-term roadmap: an MCP integrated directly with our design system and Prototyper app that enables marketers to go from idea to content outline to production ready landing page in minutes, AI content writing workflows, self-improving experimentation tooling, and programmatic sales asset creation.
Be opinionated about agentic and AI-augmented workflows. Most of our compounding leverage comes from tooling that pairs an AI agent with strong guardrails. We expect engineers here to drive direction of the agent layer.
Partner directly with marketers, designers, and PMs to identify which workflows are highest-leverage to automate. The job is part platform engineer, part product engineer - user research and tight collaboration with non-engineers is an expectation.
Set the bar for velocity and quality. We're a small team with high stakes (this surface drives half of inbound SQLs). You should be the kind of engineer who ships at high velocity without compromising the brand or breaking the production funnel.
Reduce the team's ticket burden by making the request unnecessary. Success is measured not in tickets closed but in the percentage of marketing work that ships without you touching it.
What You Need
4+ years of product engineering experience, ideally at a high-growth tech company, with a meaningful share of that time on user-facing or platform-tooling work.
Demonstrated track record of building internal tools or platforms that materially reduced repetitive workflows for non-engineers. We're hiring for force multipliers, not feature implementers. Our FE applications are built with Next.js and Sanity CMS for the marketing site (ramp.com) our backend services use a mix of Python/TypeScript.
Strong product instincts. You can tell the difference between tooling that compounds and tooling that's busywork. You're comfortable saying no, scoping down, and shipping the right 70% over the wrong 100%.
Comfort with AI/LLM-augmented engineering. You've built or shipped agentic workflows, MCP servers, or LLM-powered tooling - or you have a strong, opinionated POV on how to.
Velocity and ownership. You ship without supervision, take the next problem before it's assigned, and operate well in environments where the operating model is still being written.
Cross-functional empathy. You can sit next to a marketer, watch them struggle through a workflow, and walk away with a sharper sense of what to build than they could articulate.
Nice to Haves
Experience with marketing or growth engineering (CMS, experimentation, paid-ads pipelines, marketing analytics).
Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake)
Experience with MCP servers specifically, or with agentic systems that have to operate behind production guardrails.
Experience building experimentation platforms (LaunchDarkly, Optimizely, Statsig, in-house systems) or hands-on running rigorous A/B tests.
Background in SEO/AEO engineering, programmatic page generation, or AI-driven content workflows.
Experience working closely with brand and design teams - has shipped pixel-perfect, brand-defining web surfaces and cared about it.
Benefits Available to All Full-Time Ramp Employees (Global)
Flexible PTO
Unlimited AI token usage
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 Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (80 days) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation support to NYC or SF (as 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 (80 days) 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 (80 days) 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.
  • United States

Sprachkenntnisse

  • English
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