AI Solutions Engineer

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

[Employer] is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue.

You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase [Employer]’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close.

This is a high-velocity commercial role, not a traditional pre-sales position where success ends with a great demo. You’ll be accountable for turning technical evaluations into commercial wins from start to finish. You’ll lead discovery, shape deal strategy, build executive-level business cases, deliver tailored demonstrations, navigate technical and commercial objections, and create urgency around a clear path to purchase.

You’ll move comfortably between technical and executive conversations. In one meeting, you may discuss model routing, APIs, integrations, data governance, and security with Engineering and IT teams. In the next, you may help Finance and executive leaders understand the ROI, total cost of ownership, and operational impact of adopting [Employer]’s AI products.

You’ll join at a formative moment for [Employer]’s AI business. As one of the first dedicated sellers for these products, you’ll help identify the strongest use cases, refine how we position and sell the portfolio, influence the customer experience, and build the playbook the broader team will eventually scale. You’ll own the full customer lifecycle from discovery and evaluation through close, implementation, and adoption, helping customers translate their purchase into a successful deployment. This role combines [Employer]’s resources and customer reach with the ownership, speed, and ambiguity of an early-stage team.

What you’ll do

• Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved.
• Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy.
• Translate [Employer]’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes.
• Build ROI and total cost of ownership analyses that quantify the value of [Employer]’s AI products and create executive-level justification for investment.
• Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production.
• Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision.
• Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership.
• Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control.
• Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision.
• Lead customers through implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption.
• Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams to remove deployment blockers and deliver a strong customer experience from evaluation through production.
• Bring structured customer and market feedback to internal teams to improve the products, positioning, sales execution, and customer experience.
• Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays as we build this go-to-market motion from the ground up.

What you’ll bring

• 5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role.
• Direct quota-carrying or deal-closing ownership of the pre-sale cycle—not only experience delivering demonstrations or supporting post-sale implementation.
• A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability.
• Strong discovery and value-selling skills, with the ability to connect technical capabilities to measurable business outcomes.
• Demonstrated ability to build executive-level business cases, including ROI and total cost of ownership analyses; this capability will be central to success in the role.
• Commercial instincts and comfort taking meaningful ownership of deal strategy, momentum, and results.
• Technical fluency across modern AI systems, including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control.
• Excellent executive communication and presentation skills, including the ability to make complex concepts clear and relevant to different audiences.
• The ability to explain probabilistic, rapidly evolving AI technology with credibility and precision without overpromising what the product can do.
• Experience building champions and navigating multi-threaded buying groups with competing priorities.
• High ownership, curiosity, sound judgment, and comfort operating in a fast-moving environment where you’ll build structure as you go rather than inherit it.
• Energy for zero-to-one work and the opportunity to build a sales motion rather than simply inherit one.

Nice to have

• Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software.
• Experience helping launch a new product or develop an early go-to-market motion.
• Familiarity with AI gateways, model routing, usage controls, data governance, or enterprise AI deployment.
• Experience selling to developers, IT, Security, Finance, Operations, Procurement, or executive stakeholders.
• Experience creating reusable sales assets, demonstrations, value frameworks, or enablement programs.

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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