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Software Development Engineer III (CRM - Opportunities - AI)
Gohighlevel
Remote, IND
Employee India
Mid
Remote
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We are seeking an SDE-3 Backend Builder to own the CRM Opportunities product end-to-end.
Opportunities is the deal and pipeline engine at the heart of our CRM — the system of record for every revenue motion our customers run, from lead conversion to closed-won.
This role emphasises deep backend ownership: designing data models, APIs, and distributed workflows that power pipelines, stages, automations, reporting, and integrations at scale.
You will operate with high autonomy, turning ambiguous problems into production systems, with enough frontend fluency to ship the occasional UI surface without waiting on anyone.
Opportunities is also where a growing set of AI-assisted features live — things like surfacing what needs attention in a pipeline, summarising deal context, and suggesting next steps. To be clear about the shape of that work: we are not training or serving models. These features are built on top of existing AI capabilities, and the engineering problem is the product plumbing around them — assembling the right context from CRM data, keeping latency and cost sane, handling failure and non-deterministic output gracefully, and making the results trustworthy enough for a customer to act on. You do not need an ML background; you need the judgement to build a reliable product feature on top of a probabilistic dependency.
Full Job Posting
What you will do:
- Own the full lifecycle of the Opportunities backend: translate business and customer needs into scalable, production-grade services
- Design and evolve the data model for pipelines, stages, deals, and associated entities — getting consistency, throughput, and query patterns right
- Build and scale APIs, event-driven workflows, and background jobs that handle high-volume writes, automations, and integrations
- Tackle distributed systems concerns: idempotency, eventual consistency, race conditions, hot tenants, and noisy-neighbor isolation
- Improve performance and reliability of large pipelines (millions of opportunities per workspace) through indexing, sharding, caching, and query optimization
- Build the AI-assisted surfaces of Opportunities on top of existing AI capabilities — context assembly from CRM data, prompt and response contracts, caching, cost and latency budgets, graceful degradation when a call is slow, wrong, or unavailable, and a feedback loop for measuring output quality
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