1 day ago
Remote, WorldwideSenior
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
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