Senior Engineering Manager - SaaS (4045)

🏢 GBG · all GBG jobs (4)
📍 Mexico
📅 Posted 2026-09-10 · via Himalayas
🏷 Engineering-Management,Software-Engineering-Leadership,SaaS-Engineering,Platform-Engineering,Product-Engineering,Software-Engineering-Manager,Engineering-Manager,Senior-Backend-Engineering-Manager,Senior-Manager-Backend-Engineering,Senior-Engineering-Lead,Senior-Lead-Engineering
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About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role

GBG Go is the platform our customers use to design, deploy and operate identity verification journeys. It is where our data, decisioning and orchestration capabilities are exposed to the world — through the Go API , through Hosted Journeys that customers embed directly into their own onboarding flows, and through the Interactions Editor that lets them configure and evolve those journeys without writing code.

We are looking for a Senior Engineering Manager to lead the Go Core Platform group: three full-stack squads, each aligned to one of these value streams . You will be accountable for the health, throughput and technical direction of all three, and for the coherence of the platform they collectively build — a single product experience rather than three adjacent ones.

This is a hands-on leadership role for someone who is as comfortable in an architecture discussion as in a performance conversation. You will report into the SVP of Product Engineering and work closely with Product, Design, Architecture and Customer-facing teams.

Alongside delivery, you will play a leading role in maturing how we build . GBG is investing in AI-enabled engineering, and this group is one of the places where that practice gets proven before it scales. You will shape the standards, guardrails and measurement that turn AI from individual experimentation into dependable organisational capability.
What you will do
Delivery Leadership Across Three Value Streams

- Own delivery outcomes for the Go API, Hosted Journeys and Interactions Editor squads — scope, sequencing, quality and predictability

- Create clear commitments with Product and hold the line on them, while being honest early when reality changes

- Keep the three streams moving independently where they can and coordinated where they must, managing cross-squad dependencies before they become blockers

- Establish and use meaningful delivery signals (flow, cycle time, change failure rate, escaped defects) to drive decisions rather than to report activity

Technical Direction and Platform Coherence

- Partner with architects and senior engineers on the technical direction of the Go core: API design and versioning, journey runtime behaviour, configuration modelling, and the boundaries between them

- Hold the group to a shared standard for reliability, performance, observability and security of customer-facing surfaces

- Actively manage technical debt and platform resilience as a planned investment, not a residual activity

- Make sure the three streams converge on shared patterns, components and contracts instead of drifting into three dialects of the same platform

AI-Enabled Engineering and SDLC Maturity

- Lead adoption of AI-assisted development across your squads — coding agents, review assistance, test generation, documentation and beyond

- Define what good looks like: prompting and context practices, human review expectations, evaluation of generated output, and the guardrails that keep quality and security non-negotiable

- Establish measurement for adoption and impact — on throughput, quality, and developer experience — and be rigorous about distinguishing real gains from perceived ones

- Codify what works into repeatable practice and share it outward, contributing to standards and enablement across the wider engineering organisati

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