GBG→
Senior Engineering Manager - SaaS (4045) at GBG in Mexico City, MX
Skills
Job Description
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 organisation
- Adapt planning, estimation and review rituals to a world where the constraint is increasingly judgement and verification rather than authoring speed
People Leadership
- Lead, coach and grow full-stack engineers across three squads, including tech leads and senior individual contributors
- Set clear expectations, give direct and useful feedback, and run a fair, evidence-based approach to performance and progression
- Own hiring for the group, and raise the bar on how we assess engineers as you go
- Build squads that are engaged and psychologically safe, and that take genuine ownership of what they run in production
- Stakeholder Partnership and Communication
- Act as the engineering counterpart to Product leadership for the Go core roadmap
- Translate technical reality into terms commercial and executive stakeholders can act on — trade-offs, risks and confidence levels, not jargon
- Represent the group in incident, escalation and customer-critical situations, and lead the follow-through afterwards
Skills we're looking for
- Significant engineering management experience, including leading multiple teams or a group of squads (ideally 20+ engineers, directly and through tech leads)
- Track record delivering and operating customer-facing SaaS platforms at scale — public APIs, embedded/hosted experiences, or configuration-driven products
- Credible full-stack technical depth: enough to challenge design decisions on both the service and front-end side, without needing to make them yourself
- Strong grasp of modern engineering practice — CI/CD, trunk-based development, feature flagging, progressive delivery, testing strategy, observability
- Demonstrable, practical experience with AI-assisted development workflows, and a clear point of view on where they help, where they don't, and how to tell the difference
- Comfort with metrics and systems thinking — able to build measurement that changes behaviour rather than just populates a dashboard
- Ability to lead in a globally distributed environment, and to influence peers and squads you don't directly own
- Excellent communication across technical, product and executive audiences
- Nice to Have
- Experience in identity verification, fraud, KYC/AML, RegTech or another regulated data domain
- Background with journey orchestration, workflow engines, low-code configuration tooling, or embeddable SDKs and widgets
- Experience building or scaling internal developer platforms and enablement practice
To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.
To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.