Growth Engineer

POWER A WORLD OF TRUST Incode is the 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. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. 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! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Growth at Incode owns the top of funnel - the pipeline that feeds every region's revenue number. This role exists to build the systems that generate it. 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. The work is grounded in live Salesforce, Supabase, and Outreach data and supports revenue teams across NAM, LATAM, and EMEA. The Growth AI Office - our multi-agent GTM operating system - is where it lives, and a fleet of these agents is already in daily production use. Today that fleet is built and maintained by a single engineer. You are the second builder. 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. A note on the title: "Growth Engineer" means different things at different companies. Here it does not mean product-led growth or experimentation infrastructure - Incode sells to banks, fintechs, marketplaces, and governments, and there is no self-serve funnel to optimize. It means engineering applied to pipeline generation. You will write and deploy production Python and Node services, stand up MCP servers, and own your own CI/CD - not configure a no-code platform. If your strongest work is A/B test infrastructure and activation metrics, or enrichment waterfalls inside a vendor UI, this is the wrong role. If you are an engineer who chose revenue systems as your problem space, keep reading. What You’ll Own & Drive Top-of-Funnel Agent Development - Design, build, and ship production LLM agents that generate and qualify pipeline: scoped skills, explicit guardrails, human-in-the-loop checkpoints, and clean multi-agent handoffs. Take agents from concept to daily use by non-technical operators across outbound, inbound, and event motions. MCP & Integration Infrastructure - Build and operate the Model Context Protocol servers and clients that connect agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack. Own authentication, token scoping, pagination, rate limiting, and graceful failure - including for systems with no native integration path. Grounding & Evaluation - Keep agent output tied to real records, not plausible-sounding invention. Build schema-aware retrieval, reconciliation checks, eval harnesses, and regression tests so a prompt change never silently degrades a production agent. Workflow & Decision Automation - Implement routing, scoring, and trigger logic across automation platforms (n8n, Tines-class) and custom services: webhooks, scheduled jobs, event-driven pipelines. Internal Tooling & Reporting - Build the web apps, dashboards, and interactive reporting that put agent output in front of BDRs and leadership in a form they'll actually use. Documentation & Durability - Write the runbooks, skill specifications, and architecture docs that make the agent fleet maintainable by more than one person. Enable GTM operators to extend what you build without filing a ticket. The Qualities That Set You Apart Agent-Native Builder - You've shipped LLM-powered systems that real people depend on, and you know the difference between a demo and something that survives contact with messy production data. Integration Instinct - You default to connecting systems rather than replacing them, and you're comfortable building the middleware that vendors didn't. Evaluation Discipline - You treat prompts and agent skills as code: versioned, tested, measured. You can tell someone whether a change made an agent better, with evidence. Data Integrity First - Before you automate on top of a number, you check whether the number is trustworthy. You've been burned by a bad join and you don't intend to be again. GTM Fluency - You can read a pipeline report, hold a conversation about conversion rates, and design for how a seller actually behaves rather than how the org chart says they should. Ownership Under Ambiguity - You scope your own work from a business problem, ship something usable fast, and iterate. You operate like a founder with a unicorn's resources behind you. Handoff Mindset - You write so that the next person can run it. You measure success partly by how little you're needed for maintenance. Your Background Engineering foundation 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. We run both, and this role writes against both. We are not asking for admin certification - we are asking for working fluency: standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs, and a clear sense of what breaks downstream when you change something upstream Sales engagement platform experience - Outreach, Salesloft, or Apollo: sequence and step models, prospect and mailing data structures, and API access patterns 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 Bonus: enrichment and contact data providers (ZoomInfo, Clay, Lusha-class) at the API level rather than the UI level Databases and data work 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. You own the alerting and the failure modes for your own work 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. We care more about the second h

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