Senior Solutions Architect — Insider Risk (Incydr)

Why Join Us?

The interesting work in enterprise security has moved inside the organization. AI agents are creating new insider risk and compliance obligations every day. Data is sprawling faster than the controls around it. At Mimecast, our product lines sit where all of that converges.

This is an architecture role reporting directly to an Enterprise Architect (EA). You’ll work alongside other Solutions Architects on the team to shape how the product evolves, how it integrates with the rest of Mimecast, and how it stays ahead of where the market is going.

The Solutions Architect role at Mimecast sits closer to the product problem. Discovery, shaping, and contract design now drive more of the value than detailed component design. If you primarily want to be a heads-down individual contributor, this isn’t the right seat. If you want to shape what gets built and own the structural decisions that make a product line move fast with quality, it is.

AI-First Architecture at Mimecast

Mimecast is an AI-First engineering organization. We expect this role to use AI development tools daily — for design exploration, prototyping, documentation, code review, and analysis. This is not optional and it is not bolt-on; it is how we work.

You will also be designing systems that incorporate AI directly. This product line is actively building agent-aware detections and AI-driven enrichment, and contributing to Mimecast’s broader AI-powered risk products. Comfort designing with — and for — LLMs, agents, and modern AI architectures is core to this job, not a side interest.

We treat architecture artifacts — ADRs, AGENTS.md files (agent-readable repo context), and data contracts — as machine-readable context, not documentation. They’re the substrate that humans and agents both operate inside, and they capture the reasoning behind design decisions — the why, not just the what.

The Opportunity

This is a leadership role shaping the future of Mimecast's Incydr product line. Incydr is our insider risk management and data protection platform. It detects when sensitive data moves in risky ways across endpoints, cloud apps, email, and removable media, prioritizes the activity that actually matters, and gives security teams the context to investigate and respond before data walks out the door. We're extending that foundation with agent-aware detection and AI-driven investigation, so teams keep pace as both the workforce and the threats get more automated.

You will be the connective tissue across product management, user experience, and engineering to turn real customer problems into effective, efficient solutions. You'll help the team deliver value across Mimecast's portfolio so customers can stay ahead of the human and agentic risks they face every day.
We operate with a sense of urgency. Cyber threats don't wait, and neither do we. You'll lead teams that move fast, make decisions with conviction, and deliver results. We expect leaders who thrive in this environment and inspire the same urgency in the teams around you.

What You’ll Do

• Shape problems with product partners: Contribute at the problem-framing stage, not just after requirements land. Run and facilitate workshops with product managers, engineers, UX designers, and subject matter experts to surface user needs, constraints, and opportunities. Define what “good” looks like in customer and business terms before settling on a technical shape.
• Own integration contracts as product artifacts: Help define how the product line touches the rest of the Mimecast platform. You’ll own the durable interfaces — APIs, events, and data contracts. You’ll also do the coordination work that makes integrations actually land.
• Build the architectural context engineering teams operate inside: ADRs, data contracts, and service interaction patterns. These are how architecture decisions get propagated and enforced at scale across humans and agents — they’re part of the build system, not the wiki.
• Set NFR and evaluability targets: Performance, availability, security, cost — help define the targets with real numbers. For AI features, extend that to eval coverage, agent boundary safety, and prompt/>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.