Deployment & Solutions Engineer

Rockstar is recruiting for an early-stage, well-funded company building an agentic AI platform for enterprise accounting. The client's platform automates journal entries, transaction matching, reconciliations, and flux analysis with a full audit trail, while keeping accountants in control of review and approval. The company was founded by leaders who scaled finance at Rubrik, built reconciliation and billing systems behind Netflix, and built AI infrastructure at Meta, and it has raised $41M from Redpoint Ventures, Kleiner Perkins, and Audacious Ventures. Rockstar is partnering with the client to find a Deployment Engineer to help customers get live on the platform.

Nobody goes into accounting to spend the first week of every month matching transactions by hand. Its agents do the accounting work itself: journal entries, transaction matching, reconciliations, and flux analysis, continuously and with a full audit trail. Nothing posts without a person signing off. The company is the agentic AI platform for enterprise accounting. Its three co-founders scaled finance at Rubrik from $5M ARR to a $15B NYSE IPO, built the reconciliation and billing systems behind Netflix's $32B in annual revenue, and built AI infrastructure serving two billion monthly users at Meta. To date it has processed more than $400B across 350M transactions at 100.00% accuracy, for customers including Scale AI, Rippling, Glean, Zendesk, Handshake, Zip, and Decagon.
As a Deployment Engineer, the candidate gets customers live. They will sit alongside Account Executives through complex deal cycles, run technical proofs of concept, and then build what each customer needs to launch: integrations to their transaction systems, custom modules, and prompt and model tuning so the AI performs the way their accounting requires. When something breaks in production, they are the one who fixes it.
This is engineering with a customer in the room. What the Deployment Engineer Will Do
Works with Account Executives on complex deal cycles involving multiple stakeholders
Runs technical proof-of-concept processes and presents tailored demos based on customer and business needs
Leads technical discovery calls and writes the implementation scoping document for each customer that launches with the company
Tunes prompts and models to get the right AI performance for each client
Builds integrations to transaction systems such as revenue, billing, and accounts payable, and the custom modules customers need to go live
Partners with product and engineering to deliver on customer requests and advocate for customer needs
Troubleshoots, debugs, fixes, and upgrades software for reliable performance in production, and supports deployed solutions over time
2 or more years in forward deployed engineering, sales engineering, implementation engineering, or solutions engineering

• Bachelor's degree in any engineering discipline; computer science preferred but not required
• Strong verbal and written communication skills and comfort working directly with customers
• Proficiency in languages such as Go, TypeScript, or Python
• Experience working with Account Executives on technical sales processes for enterprise customers
• Where and How the Deployment Engineer Will Work

This role is based in the company's downtown Toronto office, near Union Station. The company values in-person collaboration and is in office five days a week for its on-site roles.

The product does the accounting work itself, so what the candidate builds, sells, or deploys shows up in a customer's books
Founders who ran the finance org at Rubrik and built the close systems at Twitter and Netflix. Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits
A person reads every application, and the company tells candidates where they stand at every stage
A Note on AI
The company builds AI and expects candidates to use it. Use it to research the company and to prepare. In live conversations the company wants the candidate's own thinking in their own words, and if the candidate uses AI on a take-home exercise, they should tell the company where it helped.

It does not discriminate on the basis of race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any other legally protected status.