Revenue Operations Manager - Turkey

Cambly

45d•Remote

About The Position

Cambly is seeking a technical, builder-minded Revenue Operations Specialist/Manager to design and own the systems that power its B2B revenue engine. This role offers a high-impact opportunity to architect sales infrastructure from the ground up, with direct exposure to sales leadership and the GTM stack, and potential for growth into an ops leadership role. The company fosters an employee-first, results-focused culture.

Requirements

6+ years in Sales/Revenue Operations, ideally at a fast-growing B2B SaaS company
Hands-on expertise with HubSpot, Clay, LinkedIn (Sales Navigator), and call recording/conversation intelligence tools
Practical, hands-on experience building with AI tools in a sales workflow
Track record of architecting systems or processes that didn't exist before, from a loose brief
Technical mindset: comfortable with data, integrations, automation logic, troubleshooting your own builds
Proactive, ownership-driven — defaults to action, iterates in the open

Nice To Haves

Experience scaling a sales ops function at an early or growth-stage startup
Familiarity with SQL, APIs, or no-code/low-code tools (Zapier, Make)
Experience supporting both SDR and AE motions
Prior experience in a remote & distributed team
Builder mentality — energized by ambiguity, not slowed by it
Strong organizational and project management skills across multiple systems/stakeholders
Clear communicator who can translate technical systems into simple guidance for reps and leadership
Comfortable in a fast-paced, dynamic, remote environment

Responsibilities

Design and build sales workflows and tooling from scratch, often as the first person to solve a given problem at Cambly
Own HubSpot end-to-end: data model, pipeline stages, automations, reporting, integrations
Build and maintain prospecting/enrichment workflows using Clay, LinkedIn, and similar tools
Implement and optimize call recording/conversation intelligence tools for coaching and pipeline insight
Identify and build AI-enabled workflows across the sales cycle (lead scoring, call summarization, forecasting)
Build dashboards and reporting for real-time pipeline health, rep performance, and forecast accuracy
Diagnose bottlenecks in the sales cycle and design scalable processes, not one-off patches
Partner cross-functionally with Sales, Marketing, and Finance to keep systems and data aligned