About Us
Common Room is the customer intelligence platform that captures every buying signal, giving companies superpowers with AI enrichment and automation to reach the right person with the right context at the right time. Despite an explosion of buyer signals, companies are left struggling with siloed point solution vendors, bloated tech stacks, and unactionable "intent" data. Common Room brings together all the buying signals you care about in one place so you can track the entire customer journey, match signals to real people and accounts, take action and automate. We’ve raised over $50 million from top-tier investors including Greylock, Index, and Madrona to build the world's first customer intelligence platform for modern B2B companies. And we’re backed by 25+ operators from the fastest-growing companies in the world such as Figma, Stripe, Airtable, Slack, Notion, Loom, and more.
You + Common Room? You’d be joining a team that revels in asking hard questions, collaborating gladly, and making decisions quickly—a team that values simplicity, passion, trust, each other, and our customers above all. So hello! Please, knock on our door. We'd love to meet you.
How You'll Contribute
- Serve as the ultimate product expert and technical advisor to prospects and customers.
- Partner with the account team to conduct in-depth discovery sessions, uncovering client requirements, desired business outcomes, and pain points.
- Lead prospects and customers in developing and validating solutions through POCs and pilot programs.
- Lead post-sales implementations, ensuring a smooth transition from pre-sales and maximizes product adoption and value realization.
- Develop and present customized solution proposals, including architecture, integration, and implementation plans, and address technical questions and concerns from buyers.
- Design and deliver solution-based demos for complex use cases, working with clients to configure solutions that meet their business objectives.
- Collaborate with product and engineering teams to ensure proposed solutions are feasible and align with product capabilities.
- Work cross-functionally and with leadership to help get deals across the line.
You Will Enjoy Being a Member of Our Team If You Have
- 7+ years of relevant work experience in a solutions consulting or pre-sales engineering role in SaaS (bonus points for familiarity with PLG or PLS motions).
- A track record of success in driving successful POCs and implementations of SaaS applications for complex enterprise customers.
- Proficient in sales technology (SFDC/HubSpot) and experience with data flows, AI/ML concepts, analytics, APIs/webhooks, reverse-ETLs, or JSON.
- Previous experience at growth-stage companies with a preference for developer tools, data analytics, or value-based selling to sales and marketing orgs.
- A solution-based approach to selling and the ability to manage a sales process.
- Excellent presentation and listening skills, organization, and contact management capabilities.
- A hands-on approach to learning technical concepts and leading technical discussions internally and externally with stakeholders of all levels.
- A strong desire and willingness to learn and build as our product and processes evolve.
In Your First Week, Expect To
- Understand Common Room’s core personas and use cases.
- Dive deep into the platform functionality by building your own instance.
- Meet your team as well as cross-functional partners and company leadership.
- Jump right into customer meetings!
In Your First Month, Expect To
- Become a product expert and be proficient at leading discovery, demos, and customer calls.
- Build new customer-facing resources for POCs and implementations that help deliver a better customer experience.
In Your First Three Months, Expect To
- Be fully ramped by leading POCs and implementations that contribute to pipeline and revenue targets.
- Contribute new processes and best practices in order to increase win rates, velocity, and deal size.
- Mentor AEs.
Employment Details
- Employment Type: FullTime
- Location Type: Remote