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DirectorFull-timeRustReactAI
Salary Range
$95,625 - $129,375 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We’re not trying to “support R&D.” We’re trying to redefine how R&D works.
Technology is moving fast. AI is reshaping how teams build, think, and deliver. Most companies are reacting. We want to be ahead of it.
We’re looking for a Strategic People Partner who sees People as a system design problem, not a HR checklist. Someone who is deeply curious about AI, how work is evolving, and what high-performance looks like in modern engineering environments.
You’ll operate where technology, behavior, and organizational design collide, helping us build R&D teams that are fast, adaptive, and genuinely great to work in.
What You’ll Do
• Design the next version of R&D: Work with engineering and product leaders to rethink org structures, team topology, and ways of working in an AI-accelerated world.
• Cut through the AI noise: Translate “AI will change everything” into actual decisions: roles, skills, productivity, team composition. No fluff, just impact.
• Rebuild People products for speed: Performance, hiring, onboarding, merit, talent… take what exists and make it work for builders. Less bureaucracy, more signal. If it slows teams down, it’s broken.
• Bridge strategy and reality: Zoom out to define where we’re going. Zoom in to make sure it actually happens. No patience for strategies that live in slides.
• Build teams for what’s next: Identify future capabilities early and make sure we have the talent to match. Not when it’s obvious, but before.
• Upgrade leadership: Help leaders operate in ambiguity, make better decisions faster, and build teams that don’t burn out or slow down.
• Protect what makes us human: As AI scales, double down on judgment, creativity, trust, and collaboration. The stuff that actually differentiates teams.
• Use data, but think: Bring strong insights into decisions, but don’t hide behind dashboards when judgment is required.
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About Cint
Cint is a leading provider of market research and data collection solutions, operating at the intersection of technology and analytics. Specializing in connecting researchers with global consumer insights, the company has established itself as a key player in the data-driven decision-making space. While the exact founding date and location are not explicitly stated, Cint's name and domain suggest a focus on efficiency and connectivity, likely originating in a region with strong tech and research infrastructure, possibly Scandinavia given the "-int" suffix common in Nordic naming conventions. The company serves as a bridge between organizations seeking consumer intelligence and the diverse populations they aim to understand. Cint's core offerings include online panels, survey distribution services, and advanced data collection tools that enable businesses to gather reliable consumer feedback at scale. Their platform features robust security measures, diverse respondent pools across multiple countries, and customizable data collection methodologies to suit various research needs. The company primarily targets market researchers, brand managers, and data analysts in industries ranging from retail and technology to healthcare and finance. By providing access to validated consumer insights, Cint empowers organizations to make evidence-based decisions, optimize product development, and refine marketing strategies with confidence. Cint has positioned itself as a trusted partner in the global research industry, known for its commitment to data quality and ethical research practices. The company differentiates itself through its extensive global network of respondents and its innovative approach to panel management, which ensures representative and engaged participant pools. As a result, Cint has become a preferred solution for multinational corporations and research agencies requiring scalable, high-quality data collection. Their ability to deliver actionable insights across borders and cultures underscores their unique value proposition in an increasingly data-centric business landscape.
