Role Overview
Incode is a leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
What You Will Do
You’ll ship AI agents, automations, and workflows across the full top-of-funnel surface: outbound, inbound, lead qualification and routing, event and conference motions, account and competitive research.
Why It Might Be a Fit
You’ll design and ship new agents, harden the ones already running, and own the integration layer that connects them to the systems revenue actually runs on. This is not an internal-tools ticket queue and it is not research. It is applied engineering where the output is measured in qualified pipeline, meetings held, and hours returned to a 24-person revenue team.
Requirements
- 4+ years professional software engineering
- 1+ year building and shipping LLM-powered applications or agents to production – used daily by people who are not engineers
- Strong Python and Node.js/TypeScript in production; React sufficient to build internal UI end to end
- At least one internal application you built start to finish: data model, backend, interface, auth, deployment, and the maintenance afterward
- CRM and revenue systems – required
- Hands-on experience with both Salesforce and HubSpot
- Sales engagement platform experience – Outreach, Salesloft, or Apollo
- A realistic view of how revenue data degrades in practice: duplicates, stale ownership, unenforced picklists, half-migrated fields – and what that means for anything automated on top of it
- Production experience with Postgres or Supabase: schema design, migrations, indexing, query tuning, row-level security
- SQL fluency against a warehouse – Redshift, Snowflake, or BigQuery-class – including window functions and incremental models
- You have reconciled the same metric across two systems, found the delta, and explained it to a non-technical stakeholder
- Automation, end to end – You have designed, built, deployed, monitored, and maintained automations in production – not just built them
- Webhooks, queues, scheduled jobs, retries, idempotency, and backfills. You have debugged a job that silently stopped firing
- Automation platform experience (n8n, Tines, Zapier-class) and the judgment to know when to abandon the platform and write the service instead
- Routing, scoring, and decision logic implemented as code with test coverage, not as a chain of conditional blocks nobody can read
- Hands-on with MCP – servers, clients, custom endpoints – or an equivalent tool-calling and agent framework
- Production LLM API integration (Anthropic-class): structured output, tool definitions, context management, cost and latency tradeoffs
- Deployment, integration, and security – Cloud deployment ownership: AWS, containerized hosting, CI/CD (GitHub Actions); Terraform or another IaC tool a plus
- OAuth flows, token lifecycle and refresh, credential vaults, header auth, and least-privilege scope review on the integrations you build
Benefits
- Flexible Working Hours & Workplace
- Open Vacation Policy
- Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment
To apply for this job please visit job-boards.greenhouse.io.
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