Forward Deployed Engineer

Safe Security; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Meaningful Equity

Unlimited Leaves

Comprehensive Benefits

Career Trajectory

Job summary

Safe Security is seeking a Forward Deployed Engineer to own the customer onboarding and delivery lifecycle. You will scope, plan, configure, integrate, and confirm customers are obtaining value from SAFE, acting as the bridge between customer teams and SAFE engineering.

You will build scripts, automate onboarding tasks, and tailor the platform with API-driven integrations while collaborating with product and engineering.

Qualifications

• Ownership mindset and accountability in customer outcomes.
• Experience building scripts and automations to accelerate onboarding.
• Strong API fluency, including authentication and error handling.
• Proficient in Python development and cloud services concepts.
• Clear written and verbal communication with technical audiences.

Responsibilities

• Own customer onboarding and delivery from planning to value delivery.
• Lead technical onboarding, configure, integrate, and verify outcomes.
• Travel to customer sites for workshops and deployments.
• Write scripts and automations to speed onboarding and data loading.
• Configure and customize SAFE platform to meet customer needs.

Skills

Ownership

Problem Solving

Curiosity

Script Writing

APIs

Debugging

Communication

Python

Cloud Services

AI Tooling

Travel

Job description

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 providecertainty.

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

• 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 offerunlimited 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.

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:

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.