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Intradiem is reinventing customer service for everyone by helping organizations connect people, technology, and real-time action to create more agile operations and more human experiences.
Who We Are Intradiem is the leader in Dynamic Workforce Orchestration. We help organizations create service agility by connecting people, technology, and real-time data to improve customer experiences and support employees. We believe automation should empower humans, not replace them.
What We Do Our platform turns real-time insights into real-time action. By orchestrating work across customer service teams, we help organizations break down silos, adapt instantly to changing demand, and operate more efficiently without losing the human touch which is essential to customer service.
How We Work We solve real operational problems alongside our customers. Our approach is practical, collaborative, and focused on outcomes. We listen first, build with purpose, and create technology solutions that work in the real world.
Our Culture We’re proud to be a people-first company. We treat employees with trust, respect, and flexibility because great customer experiences start with supported teams. We move fast, collaborate closely, and believe the best ideas come from empowered people working together.
We encourage our employees to contribute time and energy to causes that help improve the people and communities in which they live and work. We are guided by three core values:
Servant's Heart—We believe in caring enough about other people to understand what their problems are and placing the needs of colleagues, customers, and others over personal objectives.
Craftsman's Attitude—We believe in taking pride in the work we do and creating solutions that actually solve the problem at hand (and trying again if the first attempt doesn't do the trick).
Growth Mindset—We believe that progress comes from curiosity, openness, and perseverance. We welcome feedback, embrace change, and push beyond comfort zones to unlock new potential for ourselves, our teams, and our customers.
Intradiem is modernizing its growth engine for the AI era. We're standing up a GTM engineering practice from scratch, and we need a builder who treats pipeline as a system output, not a sales activity. You'll design and operate an AI machine that works autonomously in the background — enriching data, scoring accounts, triggering outreach, and routing the right signals to the right motion. The right person moves fast, thinks in systems, and clocks daily wins. If you're hungry to apply the latest AI to compress the sales cycle and ready to build something from the ground up — this is your seat.
Design and operate AI-driven prospecting workflows that identify and engage high-fit accounts at scale
Build automated, personalized outreach sequences using LLM-powered tooling (e.g. Clay, Apollo, or equivalent)
Develop and maintain lead scoring models that incorporate product signals, firmographic data, and engagement patterns
Architect and maintain enrichment pipelines that keep our ICP data fresh, accurate, and actionable
Integrate data sources across our GTM stack (CRM, MAP, intent data, product telemetry) into a unified view
Partner with Engineering to expose product usage signals to the GTM stack in near-real-time
Identify and instrument PLG signals within the product (activation events, usage thresholds, expansion triggers)
Build automated workflows that route PLG signals to the right Sales motion at the right time
Collaborate with Product Management to define and operationalize the product-qualified lead (PQL) framework
Create dashboards and reporting that give Sales and Marketing visibility into pipeline health driven by product signals
Own the PLG tooling stack end-to-end — selecting, implementing, and managing the tools that power free trial infrastructure, onboarding instrumentation, activation tracking, and self-serve conversion
Document systems, workflows, and data models to ensure maintainability and knowledge transfer
Partner with Sales leadership on territory and account planning powered by data
Bachelor's degree in Computer Science, Business, Economics, or a related field
3–5 years of experience in GTM engineering, revenue operations, or a closely related technical role at a B2B SaaS company
Prior experience in a quota-carrying sales role, SDR/BDR function, or embedded GTM partnership — enough to deeply understand how reps work and design systems they will actually use
Demonstrated ability to build and operate automated outreach or prospecting workflows, not just configure off-the-shelf tools
Strong proficiency with at least one modern GTM data/enrichment platform (Clay, Apollo, ZoomInfo, Clearbit, or equivalent)
Hands-on experience integrating CRM systems (Salesforce or HubSpot) with marketing automation, enrichment, and sequencing tools and revops tools like Gong.
Deep expertise working with Claude and Cowork to design, automate, and accelerate GTM workflows — not just as a productivity tool, but as a core layer of the growth stack
Hands-on fluency with Model Context Protocol (MCP) servers — ability to connect, configure, and orchestrate MCP-compatible tools (CRM, enrichment, sequencing, Slack, and internal APIs) to build multi-agent GTM automation workflows that run without human intervention
Analytical mindset with the ability to interpret pipeline and conversion data and translate findings into action
Strong written and verbal communication skills
Familiarity with contact center technologies or workforce automation is a plus
Work Authorization: Candidates must have the legal right to work in the country where the role is based at the time of application. Verification of identity and employment eligibility will be required during onboarding.
Intradiem is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
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Intradiem provides a real-time workforce automation platform designed to optimize productivity and capacity for large enterprise teams. Their solution focuses on automating complex workforce management processes to unlock operational efficiency.
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