Company Description

Dimension Labs delivers Causal Intelligence for the enterprise: connecting unstructured customer conversations to business outcomes with statistical proof. Our Meaning Layer transforms calls, chats, tickets, and surveys into structured, queryable Dimensions that join with your financial data and flow into Snowflake, Databricks, and your existing BI stack. The result: retention, product, and executive teams stop asking why their metrics moved and start knowing — with evidence, dollar amounts, and specific drivers traced back to source conversations. Trusted by the world's largest organizations including Travelers, Concentrix, American Red Cross, and the NBA

Role Description

We're looking for someone who has been crushing it and is looking for something new because they want to grow their career. We can kick up your title, but you'll quickly learn that doesn't matter much here. The opportunity isn't about the title it's about having the full latitude to apply your drive and ambition by having a seat at the table. We don't hire "order taker" roles. Everyone contributes, makes sales calls, supports customers, drives the product forward. That's how we run GTM. If that type of environment gets you excited keep reading.

You:

Looking for a company with a cool product to actually get excited about.

Looking for highly successful people in these areas:

• High-volume CSM / Tech-Touch program experience and many other talents (creative, makes stuff, technical enough)
• BDR/SDR with a really strong track record of success in data analytics space (and at least 2 of the bonus criteria)
• Support/CSM that moved to Sales / Solutions (and at least one bonus criteria)
• Market Research / Analyst with experience in SaaS (data oriented platforms)
• Customer operations with API implementation experience and selling
• Someone with a degree in linguistics who is just desperate for any job and will do anything and work crazy hours because this is your one chance to do something that's also relevant to what you studied.

Strong Bonus:

• Background in Analytics, Statistics (R, SPSS, Survey Reporter), Research Methods, Data Platforms
• Clear understating of APIs and technical implementation, integrating and mapping data sources
• Experience or training in what it means to be consultative with customers, work with them to find opportunities to help them win
• An ability to connect thinking strategically and acting tactically, and strong follow-though
• Has worked in conversation intelligence, voice of customer, or customer data analytics — direct domain knowledge
• Has been a founding SE or the first solutions engineer at a company — built the playbook themselves
• Has touched the product codebase to fix a demo issue or configure an integration — not afraid of the code