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We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

You will be a senior engineer on the team that owns real-time data platform. The platform turns operational events (orders, driver locations, geofence transitions, shifts, MQTT session events) into live analytics, routing inputs, and warehoused data across Postgres/TimescaleDB, ClickHouse, and BigQuery. You will own the platform end-to-end: design, implementation, deployment, and production operation of the streaming jobs, CDC pipelines, Kafka Connect bridges, and downstream sinks that move this data.

What Will You Do
Designing, implementing, and operating stateful Apache Flink streaming pipelines: keyed state, windowing, watermarks, timers, side outputs, custom sources/sinks.
Designing, developing, deploying, and maintaining Change Data Capture (CDC) pipelines using Flink CDC or Debezium, moving operational database changes into the streaming platform with correct snapshot/incremental handling, schema evolution, and downstream idempotency.
Building and operating Kafka and Kafka Connect pipelines: topic and partition design, source/sink connectors in distributed mode, schema and converter management, and dead-letter routing.
Owning the path from Kafka → Flink → Postgres / TimescaleDB / ClickHouse / BigQuery, including schema design, idempotency strategy, batch tuning, and observability.
Diagnosing and fixing production issues: checkpoint failures, backpressure, state growth, sink slowness, autoscaler oscillation, restart loops.
Hardening the platform: delivery guarantees, watermarks, DLQ handling, schema migrations, alerting coverage.
Code reviews and mentoring mid-level engineers.
Contributing to the deployment side: Helm charts, ArgoCD applications, GKE configuration, Grafana dashboards, Prometheus alert rules.
Influencing direction: state backend choices, schema migrations, when a pipeline needs to be split or rebuilt.

we are looking for a Senior Backend Infrastructure Engineer to join our Backend Infrastructure team. This role is focused on designing, building, and improving the backend infrastructure that powers delivery platform. The engineer will work on scalable backend services, shared infrastructure components, internal frameworks, system reliability, performance optimization, and cross-team technical enablement. The ideal candidate is a strong backend engineer with solid experience in C# and .NET Core, distributed systems, databases, cloud environments, and production-grade backend services. The candidate should also be comfortable adopting modern AI-assisted development tools such as Cursor, Claude, and similar coding assistants to improve development quality, productivity, code review, and technical research. The engineer will work closely with backend product teams, DevOps, data engineering, mobile, and frontend teams to deliver reliable, secure, and high-performing systems.

What Will You Do
Design, develop, and maintain backend services using C# and .NET Core.
Build shared backend infrastructure, internal libraries, SDKs, reusable components, and service templates used by multiple engineering teams.
Support backend teams with architecture reviews, technical guidance, best practices, and performance improvements.
Help improve backend development velocity, code consistency, and production readiness across teams.
Work with relational and NoSQL databases such as SQL Server, PostgreSQL, MySQL, and MongoDB.
Design and optimize database queries, indexes, schemas, and data access patterns.
Build and maintain search and caching solutions using technologies such as Elasticsearch and Redis.

we are looking for a BIM & Architecture Domain Expert (Frank Skills).
What youll do:
Specify new Frank skills end to end: the trigger, the expected result, the edge cases, and the firm conventions they must respect.
Validate skills against real Revit and ArchiCAD models, catching the failure modes only an experienced architect would notice.
Encode firm standards (annotation rules, graphic conventions, QA logic) into something Frank applies consistently.
Partner with customers BIM leads to translate their standards into Frank, and feed what you learn back into the product.

we are looking for a Enterprise Account Executive.
Were putting an AI architect inside the firms that design the built world. As an Enterprise Account Executive, you own the full sales cycle into architecture and AECO enterprises: building relationships with principals and design-technology leaders, running compelling live demos of Frank on their own work, and closing partnerships that put on the critical path of production.
What youll do:
Own a pipeline of enterprise architecture firms from prospecting through close.
Run a consultative, value-led sales process: map each firms documentation pain to concrete Frank ROI.
Orchestrate live, project-specific demos with our solutions and domain teams.
Be the voice of the market internally, shaping how we package and position Frank.