Forward Deployed Engineer

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty. We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret. As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity. The Culture Memo: Our Operating System Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence. Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish. The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time. Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable. Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly. The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup. The Perks & Ownership: We want our team to feel like owners because they are owners. We trust our people to manage their results and their time. Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success. Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission. Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for. Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.

What you'll do:

Own customer onboarding and delivery

• 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.

Technical implementation

• 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.

Debug and troubleshoot

• 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.

Bridge the customer and engineering

• 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 tooling to scale your work

• 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.

What you'll bring:

Essential

• 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.

Nice to have

• 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.

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.

If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security, we want to hear from you! 🚀