6sense jobs, judged for you, free

What they do

6sense sells data and AI for B2B go-to-market teams. Its Signalverse captures one trillion signals a day to show which accounts are ready to buy, how to engage them, and when. Products include intent data, predictive scores, advertising, AI email agents, and RevvyAI, a chat product. Agents reach the data through APIs and an MCP server. It started in 2013.

What they value

• Win as one team: win, learn, and grow together across teams and roles.
• Stay curious about customers, the market, and the business.
• Do the right thing: act with integrity, even when it is hard.
• Own the outcome: do what you say and take responsibility.
• Create belonging, so everyone can contribute, grow, and thrive.

Where they hire

Of 34 Postings, 16 are remote, 15 of them in the United States and one in Costa Rica. Office roles are in Bengaluru (7), San Francisco (5), Austin, New York, London, and Madison. Business development roles must be in the office three days a week. No Posting mentions visa sponsorship.

Teams and roles

The careers page lists offices in San Francisco, Austin, New York, Madison, London, Pune, and Bengaluru. The board lists 34 roles.

• Engineering and AI/ML engineering (11): AI engineers who build agents and the MCP server, a principal AI architect for the agent platform, staff software and infrastructure engineers, an engineering manager, a machine learning engineer, and forward-deployed data scientists and an MLOps engineer who work on customer models. A forward-deployed role works directly with customers. MLOps is the work of running machine learning models in production. Most engineering roles are in Bengaluru or San Francisco.
• Sales (7): account executives, advertising sellers, and a partnerships head.
• Business technology (5), product management (4), marketing (3), customer success (2), and people and revenue operations.

Most US Postings give a base pay range. Other pay can include commission or a bonus, and stock options.

What they look for

Engineering roles ask for many years of production work. The senior AI engineer needs five or more years. Staff and manager roles need ten or more, and the principal architect needs twelve or more. AI roles ask for Python, LLM systems in production, LangGraph or LangChain, and LLM evaluations. Staff roles ask for Java or Go, or AWS, Kubernetes, and Terraform. Some engineering Postings ask for skill with AI coding tools and a careful review of what they produce.

Sales roles ask for five or more years of quota-carrying sales and a record of beating quota. Enterprise roles ask for deals over $100,000 a year. Business development roles ask for an understanding of B2B sales and marketing and prefer a bachelor's degree.