Otter AI Staff Software Engineer, Backend (Infrastructure) at Otter AI owning the technical plumbing connecting go-to-market systems. Responsible for data enrichment, workflow automation, and AI-powered automations.
Responsibilities
We are a B2B AI SaaS company in active transition from a product-led growth model to a combined PLG + sales-led motion. Our CRM, data, and workflow infrastructure was built for self-serve — it was not built for an outbound sales team running MEDDIC-qualified opportunities across four market segments. This role closes that gap.
The GTM Engineer is a builder first. You will own the technical plumbing that connects our go-to-market systems — ensuring data flows cleanly, workflows run reliably, and our reps spend time selling instead of wrestling with tooling. This is a founding operational role: you will set the architectural standards others build on.
Data Enrichment & Hygiene
Own the end-to-end data enrichment pipeline using Clay and ZoomInfo — from ingestion and deduplication through CRM sync.
Define and enforce data governance standards: required fields, input formats, ownership rules, and freshness SLAs.
Instrument lead scoring, ICP scoring, and routing logic to ensure MQLs land with the right rep, at the right time, with the right context.
Build PLG → SLG handoff data flows: surface self-serve product signals (PQLs) in Salesforce as first-class pipeline inputs.
Workflow Automation & Integrations
Design and maintain the integration architecture across the GTM stack using Zapier, Workato, or equivalent iPaaS tooling.
Build and maintain Outreach sequence infrastructure: template governance, A/B testing frameworks, performance attribution back to Salesforce opportunities.
Ensure reliable, low-latency data sync across Salesforce, Outreach, ZoomInfo, Clay, and downstream tools.
Qualification
Bachelor'sStrong expertise in databasesCPQ administration experienceWith over 1B meetings transcribed
Required
Bachelor's, Master's, or Ph.D. in Computer Science or related field
10+ years of experience developing and architecting large-scale web services
Strong expertise in databases, distributed systems, and backend performance optimization
Solid understanding of database internals, transactions, indexing, and schema design for AI data workloads
Expert proficiency in Python or other languages such as Go, Java, or C++
Extensive experience with Django and integration with MySQL, Redis, Elasticsearch, Kafka, and Cassandra
Hands-on experience deploying and managing services on AWS
Preferred
Experience supporting a PLG → SLG transition, including building PQL-to-pipeline workflows.
Hands-on work with LLM APIs or AI productivity tools in a GTM context (call intelligence, CRM enrichment, email generation).
CPQ administration experience; DocuSign CLM or eSignature integration experience.
Salesforce Advanced Administrator or Platform App Builder certification.
Experience with MEDDIC or MEDDPICC and translating the framework into enforced CRM data models.
Background in B2B SaaS RevOps at a company that scaled from Series A/B through the growth stage.
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.
With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
