Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.
Every go-to-market decision at Intercom, who we target, who owns the account, what we know about them, what we should say next - rests on a foundation of account and contact data. Getting that foundation right is one of the highest-leverage engineering problems in the company: a single account hierarchy fix can re-route territory, pipeline credit and forecast for thousands of accounts at once.
This role owns that foundation. You will build and run the systems that decide what an account is, resolving duplicates, stitching subsidiaries into corporate hierarchies, sourcing new accounts and contacts into our CRM, and enriching them with firmographic, technographic and intent signals. Increasingly using LLMs and web research rather than off-the-shelf vendors. Your work is used daily by Sales, Marketing, Partnerships, Sales Ops and Finance, and directly shapes how efficiently Intercom grows.
You will sit in the Data group and partner extremely closely with GTM Systems, RevOps and the frontline teams. This is a role for an engineer who wants to be in the business, not adjacent to it. Someone who gets energy from a rep saying "this list is exactly right" and from watching a pipeline they built turn into revenue.
What will I 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.
- 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.
- 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).
#LI-Hybrid
At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements.
Learn more about working at Fin and the benefits we offer at fin.ai/careers.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Skills Required
- Genuine interest in growing the business and affinity for go-to-market teams
- Experience with dbt, Snowflake, and Airflow or comparable modern data stack technologies
- Production experience building with LLMs, including prompt design, evaluation, tool or function calling, web search, crawling, and cost and latency control
- Experience with entity resolution, identity matching, or deduplication of messy real-world records
- Hands-on experience integrating SaaS APIs and business systems, especially Salesforce
- Strong written and verbal communication skills with technical and go-to-market stakeholders
- Growth mindset and eagerness to learn evolving data and AI tooling
- Experience with GTM data vendors and tools such as ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census, Fivetran, or Gong
- Experience with territory design, account scoring, propensity models, or ICP definition
- Exposure to privacy and compliance considerations for contact data, including GDPR, CCPA, or consent management
Intercom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intercom and has not been reviewed or approved by Intercom.
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Healthcare Strength — Healthcare is described as comprehensive across regions, with employer‑verified medical, dental, and vision coverage and related protections. Job postings and benefits pages consistently highlight strong core health benefits.
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Parental & Family Support — Parental leave is repeatedly characterized as generous for both birthing and non‑birthing parents, with employer verification on public benefits listings. Family support is emphasized across U.S. and EMEA postings.
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Equity Value & Accessibility — Role postings regularly include equity/RSUs alongside salary, indicating broad access to ownership. Total compensation descriptions consistently feature equity as a meaningful part of the package.
Intercom Insights
What We Do
Intercom is the next generation customer service platform, built for an AI-first world. Intercom is the only platform that combines an AI Bot + AI Help Desk + Proactive Support tools into one seamless platform. Founded in 2011 and backed by leading venture capitalists, including Kleiner Perkins, Bessemer Venture Partners and Social Capital, Intercom is on a mission to make internet business personal. Our products are great to sell, because they're loved by our customers. We received a “Top Rated” for Live Chat on Trustradius, and we’re a Top 50 product for Small Businesses on G2 - we think these awards speak for themselves.
Why Work With Us
We're a more established company that still feels like a start-up environment. We operate and innovate quickly. Employees have the opportunity to take big bets, make signficiant impact, and advance in their careers.
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