Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Safe Security scores B on the Alion truth index.
As a Forward Deployed Engineer, you are the implementation owner of a customer’s success with SAFE, from the first onboarding call to a working, trusted deployment delivering value as a key part of their business processes. You sit between the customer's implementation teams and SAFE's engineering teams, understanding all sides well enough to translate between them. You have detailed product knowledge to be able to implement customers' business needs using existing features, and create customisations as needed.
In this role you will have a strong understanding of SAFE/Industry best practice, guiding the customer to achieve their outcomes on the SAFE Platform, This will include educating and enabling the customer, as well as a technical implementation.
You build the scripts, configure the platform, integrations, agents and automations that get a customer live. You diagnose what stands in the way of a customer's success, and where necessary engage internal teams with a clear, evidenced problem statement with an agreed outcome. You hold the end-to-end picture of how SAFE works, so a conversation between a customer and SAFE teams reaches a decision quickly.
You use AI tooling every day to engage with customers more effectively, work with more autonomy and enable others, improving existing processes and tooling to achieve rapid deployments and value realisation.
What you'll do:
Lead technical onboarding for assigned customers: scope, plan, configure, integrate and confirm the customer is getting value.
Own each engagement to a defined outcome. Keep the customer and internal teams informed on progress, risks and next steps.
Travel to customer sites for workshops, deployments and escalations.
Write scripts and lightweight automations that speed up onboarding, data loading, integration set-up and repeat tasks.
Collect technical details from customers about their environment, data sources and integrations: authentication, permissions, network constraints, payload formats and expected behaviour.
Configure and customise the SAFE platform to meet customer business needs, making direct product fixes where appropriate.
Build and test customer-specific workflows and AI agents, using SAFE and third-party APIs as needed.
Build custom solutions to achieve customer outcomes where product gaps exist.
Create tooling to accelerate delivery processes and automate repetitive tasks.
Diagnose failed or incomplete integrations and data flows.
Reproduce and investigate issues using logs, platform telemetry and platform knowledge. Work methodically from symptom to evidence to cause, with or without AI tooling
Present each issue to engineering with the evidence: what happens, what should happen, who it affects, and what you have already ruled out.
Stay with the issue until the customer has a resolution or an agreed workaround.
Talk to engineering stakeholders as a peer. Define the outcome a customer needs, not the implementation.
Join customer and internal technical calls to provide expert guidance and drive project deliverables to completion.
Spot patterns across customers. Raise them as product feedback with the customer's business outcome and their own words.
Act as an internal customer, working closely with Product teams to ensure that new features are understood and have a clear route to deliver customer value.
Use AI tools to analyse logs, draft scripts, summarise issues and prepare customer-facing material, using your experience to refine outcomes.
Turn repeated tasks into reusable scripts, AI skills or automations that the wider team can use.
Own customer onboarding and delivery
Technical implementation
Debug and troubleshoot
Bridge the customer and engineering
Use AI tooling to scale your work
What you'll bring:
Ownership and accountability. You take a problem as yours until it is closed, and you say so early when something slips.
Creative thinking and problem-solving. You find a route to success, resolving issues as you hit them.
Curiosity. Not everything is documented. You explore, discover and experiment to achieve an outcome.
Experience in script building, product delivery and working directly with customers. This can come from a customer-facing technical role or substantial project work.
Product onboarding experience. You have taken customers or users from set-up to live use of a technical product.
API fluency. You can read API documentation, call and chain endpoints, handle authentication, and interpret responses and errors.
Debugging and troubleshooting skills. You work methodically from symptom to evidence to cause, respecting customer data handling requirements.
Excellent written/verbal communication. You explain technical findings and concepts clearly to the level of the target audience, backed by an expert understanding of the system architecture.
Development. You write scripts that call APIs, process data, and automate customer tasks using Python as a preferred language. You understand code generated by AI tools for human review and challenge.
Cloud Services. You understand core cloud-based services and how they can be implemented at customers and used by SAFE.
Demonstrable use of AI tooling. You can show real examples of using AI to troubleshoot, script or automate, and you can say where it fell short.
Ability to travel to customer sites.
Exposure to cybersecurity, risk management or security-tool integrations (for example, vulnerability scanners, SIEM, asset inventories or identity providers).
Bash or PowerShell.
Experience in a customer-facing technical role (forward deployed, solutions, customer or support engineering) at a SaaS or enterprise software company.
Experience working in distributed, multi-time-zone teams.
Essential
Nice to have
Why this role is exciting:
Own customer outcomes at the point where SAFE meets real enterprise environments.
Work with engineering, product and customer teams on problems that shape the platform.
Build creative solutions to problems, both customer facing and internal
Learn cyber risk, Third Party Risk Management (TPRM) and Continuous Threat Exposure Management (CTEM), a growing part of cybersecurity.
Use Python, APIs and AI tooling to remove manual work for yourself and the team.

