Software Engineer, Forward Deployed, AI Solutions

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.

About the Role

Companies are adopting AI across more teams, but most still struggle to produce real workflows, measurable outcomes, and efficient spend. [Employer]’s AI Solutions team helps customers turn that spend into working systems: agents, automations, and integrations that run real finance operations, built on top of [Employer]’s growing AI product stack, including Glass, Inspect, Router, and Token Spend Management.

As a software engineer on AI Solutions, you'll co-lead customer engagements with an AI Solutions Strategist while also helping turn repeated customer needs into platform capabilities across [Employer]’s AI product stack. The Strategist owns business discovery, the ROI story, stakeholder alignment, and rollout planning. You own the technical side: discovery, solution design, prototyping, implementation, production readiness, and the product feedback loop back into our platform and AI primitives.

This is a deeply client-facing, hands-on building role based in New York, with occasional travel depending on engagements. You'll take projects from a customer's first workflow-discovery sessions through launch and into steady, measurable production use — then turn what you learned into reusable product patterns the next customer can adopt without starting from zero.

What You'll Do

• Ship production AI workflows for the companies we partner with — agents, automations, and integrations their teams use every day.
• Translate customer work into platform work by identifying needs across deployments and helping improve [Employer]’s AI primitives.
• Make the next deployment easier by turning customer specific work into reusable components, product feedback, reference architectures, and playbooks.
• Run technical discovery with customers: current workflows, systems, data quality, constraints, and what's blocking adoption.
• Turn customer goals into concrete requirements, including security, privacy, reliability, performance, scalability, and cost.
• Prototype fast with end users to de-risk the approach before you build it out.
• Own the technical plan end to end: architecture and data flow, integrations across [Employer] and customer systems, permissions and auditability, evals and acceptance tests, and monitoring and runbooks.
• Measure what you ship — quality, adoption, and cost — and stay with it until it's reliable, supportable, and handed off.

What You Need

• A track record of building from 0 to 1 in ambiguous environments: finding the real problem, shipping a first version quickly, learning from users, and hardening it over time.
• Hands-on experience building LLM systems — agents, RAG, evals, and monitoring — and sound judgment on trade-offs like quality, latency, cost, and model choice.
• Strong coding ability in Python, TypeScript/JavaScript, Java, Go, or similar.
• Comfort working across APIs, integrations, data pipelines, and cloud infrastructure (AWS, GCP, or Azure), and designing systems that are secure and scale.
• Experience working directly with customers or end users: you can scope an ambiguous problem with a room of stakeholders and write clear technical docs afterward.
• Strong written communication. You can produce technical plans, customer facing explanations, handoff docs, and clearly explain tradeoffs.
• Willingness to travel up to ~50%, flexible based on project and customer needs.

Nice to have

• Background in forward deployed engineering, solutions architecture, technical consulting, or sales engineering.
• Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
• Experience turning repeated customer needs into reusable product primitives, internal tools, or implementation playbooks.
• Experience optimizing AI cost or performance, such as model routing, caching, or token spend analysis.

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.

[Employer] Applicant Privacy Notice