We are building the FDE function at Diligent from the ground up with ambitions to grow this team to 20–25 people. The first three hires will shape how we embed AI agents into some of the world’s most complex governance, risk and compliance environments. This is not a support or consultancy role. It is a builder role, for someone who is equally comfortable reading a failing agent trace, running a discovery workshop with a bank’s internal audit team, and translating what they find into a production-grade agentic solution.
You will be building AI agents for GRC professionals, not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end. Agents that customers can hand a task to and trust it will come back done. Closing the gap between a promising prototype and something a company Board and ELT depends on is a completely different discipline to building the prototype. That is what this role is about.
Here’s a breakdown of what you’ll do
- Embed directly with major enterprise customers (global banks, regulated corporates) across EU and US, sitting with internal audit teams, risk functions, compliance and governance professionals to understand their real workflows, not to demo what the agents already do.
- Run agent-focused discovery workshops, rapidly prototype agentic solutions, and test them with practitioners; distinguishing between workflows that need an agent and those that need a button.
- Source, integrate, and move data between enterprise systems as part of live customer implementations — understanding the real data landscape customers operate in and building reliable pipelines to support it.
- Take agents from prototype through to production-grade reliability: building evaluation infrastructure, golden datasets, guardrails, and observability so a compliance team can trust the output.
- Master the hard failure modes of agentic AI — silent regressions on model updates, context window degradation, prompt instability, non-deterministic outputs — and build the infrastructure that prevents them.
- Synthesise learning across multiple enterprise accounts to identify which agent behaviours should be generalised into the platform, feeding field insights back to product and engineering.
- Translate what customers actually need into concrete API surfaces, data integration requirements, and agent tool specifications for internal teams.
These are the essentials you’ll need to get an interview
- Hands-on experience shipping at least one SaaS production agent from prototype to evaluation to live deployment to regression — and the scars to prove it.
- Proven implementation experience: you have worked on enterprise deployments where you have sourced data from multiple systems, built integrations, and onboarded complex customers onto technical platforms. This is a hard requirement.
- Deep understanding of the Agent Development Life Cycle: evaluation frameworks, guardrails, observability, prompt versioning, and golden datasets.
- Strong software engineering fundamentals: APIs, data pipelines, backend services, agent tool-calling frameworks (MCP or equivalent). TypeScript and/or Python.
- Experience with multi-agent orchestration patterns: orchestrator/sub-agent architectures, agent-to-agent coordination, shared context models.
- Genuine comfort operating across both technical and business environments — as effective with a company Board and ELT as you are debugging a failing agent trace.
- Curiosity about GRC, audit, and compliance domains. You don’t need a compliance background, but you need the drive to learn it fast.
- Flexibility to travel regularly across EU and US customer sites.
It would be great if you had these too
- A background in Professional Services, Solutions Engineering, Customer Success, or a forward-deployed technical role — people who have lived in the space between customer requirements and technical delivery are often a natural fit for this work.
- Familiarity with GRC, audit, or compliance software platforms.
- Exposure to LLMOps tooling: tracing, prompt versioning, evaluation at scale, regression testing frameworks.
- Prior experience in forward-deployed, solutions engineering, or embedded customer-facing engineering roles.
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Skills Required
- 3-5+ years of relevant, post-college work experience
- Strong technical hacking and prototyping ability
- Comfort working with AI/LLM-based tools and APIs
- Excellent customer-facing skills
- Exceptional executive presence
- Proven ability to operate independently in ambiguous, fast-changing environments
- Strong communication skills
- Ability and interest to travel up to 25%
Diligent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Diligent and has not been reviewed or approved by Diligent.
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Healthcare Strength — Healthcare coverage includes comprehensive medical, dental, and vision options. Wellness programs are also highlighted as part of the package.
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Retirement Support — Retirement offerings include a 401(k) with employer match in the U.S. and regional plans internationally. This structure underscores support for long-term savings.
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Leave & Time Off Breadth — Time off is framed as flexible with “unlimited PTO” and periodic recharge weeks in some areas. Parental leave is also promoted within the global package.
Diligent Insights
What We Do
Diligent is the leading GRC SaaS provider, serving nearly 1 million users from 25,000 organizations around the world. Our software enables holistic and informed conversations about governance, risk and compliance and ensures CEOs, CFOs and the board have an integrated view of audit, risk, information security, ethics and compliance from across the organization. Our world-changing idea is to bring technology, insights and confidence to leaders so they can build more effective, equitable, and successful organizations – and create lasting, positive impact on the world. We seek to empower organizations to be better for their stakeholders and communities, for their customers and employees, for their bottom line. Headquartered in New York, Diligent also has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, and Sydney.
