1 · Own the Integration Infrastructure

• Be the technical owner of our SnapLogic-based integration platform: reliability, monitoring, standardization of development patterns

• Coordinate external ERP experts (SAP, Oracle, etc.) on new connector delivery: enforce technical quality standards (code standards, robustness, production readiness), alongside the business expert who validates data conformity

• Contribute to building new connectors on strategic ERP perimeters

• Identify and resolve recurring fragility points (Groundplex/Snaplex environments, native library compatibility, etc.)

2 · Drive AI Engineering at Scale

Supervizor is at an inflection point in its AI journey: foundations are in place, first building blocks exist — now we’re scaling.

• Design and harden AI systems in a demanding multi-tenant context — data isolation, performance, security

• Contribute to exposing Supervizor via modern agent protocols (MCP, API) to enable external agents to interact with the platform

• Build AI-powered product features that help clients navigate Supervizor and understand their accounting data — intelligent navigation, anomaly explanation, enhanced detection

• Take experiments to production: refactoring, observability, robustness, alignment with Supervizor engineering standards

• Be a technical reference for the AI team on Python engineering and architecture best practices

3 · Co-build the Controls Factory

SQL controls are the core of Supervizor’s product. This perimeter is being structured — the challenge is as much about defining what needs to be built as executing it.

• Work with business experts to map what controls look like today — their structure, logic, and limits

• Participate in shaping what controls will look like tomorrow — model evolution, new capabilities, scalability

• Design and implement the mechanisms to maintain controls in production over time: corrections management, impact assessment of changes or bugs across the entire client base, regression prevention

4 · Contribute to Platform Architecture

• Participate in the design of the new control platform and the new Datalake

• Foundational projects that will define Supervizor’s technical trajectory for the next several years

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Why Engineers Like This Role

• No single team, no single problem: you move where the technical complexity is

• You’re a multiplier: your impact comes as much from what you enable as from what you build directly

• You shape foundations: Datalake, control platform, AI at scale — systems that define what Supervizor becomes

• You work at the intersection of technical depth and business impact: alongside PMs, domain experts, and engineers at all levels

What This Role Is Not

• A management role (no direct reports)

• A 100% hands-on position within a single team

• A fixed scope — it will evolve with you and with Supervizor’s growth

This role is ideal for a senior engineer with a strong data background who wants to work across a high-impact technical scope — from integrating ERP data at scale, to shipping AI-powered features in production, to shaping how Supervizor’s control engine evolves.

This role is deliberately multi-domain — that’s its strength, not a constraint.

Your background:

• 7–10 years of software engineering experience in B2B SaaS environments

• You’ve already played a technical lead role within a team or across a transversal scope

• Strong SQL skills and relational database knowledge (query optimization, data modeling)

• Hands-on experience with data integration platforms (SnapLogic, MuleSoft, Boomi, or equivalent)

• Familiar with on-premise / hybrid environments (ERP connectors, native library management)

• Good Python level: you’ll read, review, and improve Python code within the AI team

• Ability to evaluate AI/ML approaches and challenge their engineering soundness

Our hiring process includes 4 steps:

1. Initial interview with our Chief of Staff / HR

2. Discussion with our CTO

3. Technical interview with one of our Staff Engineers

4. Final validation interview with our CEO