2 months ago
Responsibilities
- Design, build, and operate AI agents, LLM integrations, and automations connecting Salesforce and other go-to-market systems.
- Own the architecture of the GTM Systems AI layer, including MCP servers, APIs, retrieval and context pipelines, reusable agent tools, and cloud services.
- Ship production-grade LLM capabilities with validation, fallback logic, confidence thresholds, human escalation, access controls, audit logging, and cost and latency controls.
- Partner with Revenue Operations, Sales, Customer Success, Marketing, Partnerships, and SDR/ADR leaders to identify opportunities and deliver maintainable solutions.
- Raise engineering standards through code review, automated testing, CI/CD, security governance, observability, technical documentation, and mentoring.
- Design and deploy workflows on Camunda and Clay and create playbooks enabling GTM teams to operate automations independently.
Requirements
- At least 5 years of software engineering experience in backend development, systems integration, data or analytics engineering, or automation, including at least 2 years shipping LLM or AI capabilities into production business workflows or internal tools.
- Strong proficiency in Python and JavaScript/TypeScript with Node.js, plus mature Git-based development practices including code review, automated testing, and CI/CD.
- Hands-on experience with prompt engineering, retrieval-augmented generation, function or tool calling, structured outputs, model evaluation, and associated failure mitigations.
- Experience integrating Salesforce through REST, Bulk, and Streaming APIs, and integrating other business systems through APIs and event-driven patterns.
- Experience with a cloud platform, preferably Google Cloud Platform, including BigQuery, Cloud Run, Cloud Functions, and IAM.
- Ability to own problems end-to-end, communicate clearly with technical and business stakeholders, and work independently in a remote asynchronous environment.
- Preferred experience includes MCP or similar standards, agent frameworks, vector databases, retrieval pipelines, AI observability and evaluation tooling, Camunda or Clay, Revenue Operations or GTM Systems, lightweight AI-tool interfaces, and Salesforce certifications.
Benefits
- Fully remote work from anywhere Camunda is eligible to hire, with flexible working arrangements.
- Home office budget, co-working space support, and flexible time off.
- Annual Kickoff, team offsites, Camundi Connection Budgets, meetups, and local gatherings.
- Locally tailored healthcare, Modern Health mental wellbeing support, and the Live Well Lifestyle Spending Account.
- Retirement and pension plans, potentially with company contributions, plus life and disability insurance where applicable.
- Up to $/€/£1,000 per year for self-directed professional learning, including courses, certifications, and books.
- Equity through the Virtual Stock Option Plan where applicable.
Tech Stack
Categories
About Camunda
Camunda builds a process orchestration platform (Camunda 8) for enterprises to model, automate, and monitor complex workflows and decisions across systems, people, and AI agents. It sells commercial subscriptions and cloud services on top of its open-source Zeebe workflow engine, with governance and audit features suited to regulated environments. Founded in 2008 and headquartered in Berlin, it is privately held and serves large organizations across finance, insurance, and other industries.