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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Staff Data Engineer - GTM

Requirements

  • A genuine interest in growing the business and a real affinity for GTM teams. You are curious about how sales and marketing work, comfortable in a room full of reps, and motivated by commercial outcomes rather than only technical ones.
  • Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow).
  • Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling, cost and latency control.
  • Experience with entity resolution, identity or deduplication problems — matching messy real-world records, and reasoning about precision/recall trade-offs where a false merge has a real business cost.
  • Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce: reading from them, writing back to them.
  • Strong communication: you can explain a hierarchy change to a CRO and a merge heuristic to an engineer, on the same day.
  • A growth mindset and eagerness to learn — the tooling in this space is changing fast.

Nice to haves

  • Experience with GTM data vendors and tooling — ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong.
  • Experience with territory design, account scoring, propensity models or ICP definition.
  • Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management).

What You'll Be Doing

  • Owning account identity. Building and improving the entity-resolution layer that decides when two records are the same company: domain and firmographic matching, confidence scoring, and the merge/dedupe pipelines that keep Salesforce clean at scale.
  • Modelling account hierarchy. Designing the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent.
  • Building account sourcing pipelines. Turning market definitions into ranked, deduplicated, CRM-ready account lists: sourcing from third-party and internal signals, scoring fit, and pushing accounts into Salesforce with the right owner and the right metadata.
  • Building contact sourcing and enrichment pipelines. Finding the right people at target accounts, verifying and enriching them, respecting privacy and consent requirements, and delivering them into the tools reps and marketers actually work in.
  • Building LLM-powered enrichment. Extending our enrichment framework — LLM jobs with web search and crawling tools across multiple providers, to answer questions no vendor sells: what support channels does this company run, are they hiring CS or sales roles, do they ship an AI product, how ready are they for Fin.
  • Making the data usable. Landing everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and syncing it out to Salesforce, Marketo, Clay and the rest of the GTM stack.
  • Owning quality and trust. Instrumenting your pipelines with tests, alerts and reconciliation so problems surface before a rep finds them, and being the person GTM comes to when a number looks wrong.
  • Partnering on the problem, not the ticket. Sitting with Sales, Marketing and Ops to understand what they are actually trying to do, then proposing the data foundation that unlocks it.

Perks and Benefits

  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed.
AI Summary ✨
Intercom logo

Intercom

Ireland, UK

Experience: Staff
Posted: August 18, 2026
Last seen: an hour ago
dataengineering

Why we track Intercom

Intercom is a customer messaging platform with a major engineering hub in Dublin. They build real-time communication tools used by thousands of businesses. Strong product engineering culture with interesting problems around messaging infrastructure and AI.

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